This document discusses approaches and challenges to immersive visualization in healthcare. It describes several healthcare scenarios that have been explored with immersive virtual reality, including a virtual reality reading room for radiologists and virtual colonoscopy. Evaluation of these approaches found benefits of immersion and freedom of movement but also challenges like limited camera control, disorientation, and nausea. Overall, immersive visualization shows promise for healthcare applications but also needs improvements to interfaces and to address issues like user fatigue and discomfort.
IoT: New business paradigm for SMEs? - IoTSWC side event
Professor Ernest Teniente
Session 2: Modelling and Simulation for Industry 4.0 - round table on opportunities and challenges in the new era of IoT
IoT: New business paradigm for SMEs? - IoTSWC side event
Professor Ernest Teniente
Session 2: Modelling and Simulation for Industry 4.0 - round table on opportunities and challenges in the new era of IoT
IUI 2010: An Informal Summary of the International Conference on Intelligent ...J S
Highlights from the main track, poster/demo-session & the VISSW/UDISW/EGIHMI workshops. This is an informal compilation of personal notes from the conference & proceedings, twitter (#iui2010), Ian Ozsvald's blog (http://ianozsvald.com/), and other sources. Citations were not coherently possible, so I chose to stick with links instead. Please let me know if you'd like to see your work more thoroughly referenced.
The growing interest of Augmented Reality (AR) together with the renaissance of
Virtual Reality (VR) has opened new approaches and techniques on how professionals interact with medical imagery, plan, train and perform surgeries and also help people with special needs in Rehabilitation tasks. Indeed, many medical specialties already rely on 2D and 3D image data for diagnosis, surgical planning, surgical navigation, medical education or patient-clinician communication.
However, the vast majority of current medical interfaces and interaction techniques continue
unchanged, while the most innovative solutions have not unleashed the full potential of VR and
AR. This is probably because extending conventional workstations to accommodate VR and AR
interaction paradigms is not free of challenges. Notably, VR and AR-based workstations,
besides having to render complex anatomical data in interactive frame rates, must promote
proper anatomical insight, boost visual memory through seamless visual collaboration between
professionals, free interaction from being seated at a desk (e.g., using mouse and
keyboard) to adopt non-stationary postures and freely walk within a workspace, and must also
support a fluid exchange of image data and 3D models as this fosters interesting discussions
to solve clinical cases. Moreover, VR and AR-based techniques must also be designed
according to good human-computer interaction principles since it is well known that medical
professionals can be resistant to changes in their workflow. In this course, we will survey recent approaches to healthcare, including diagnosis, surgical training, planning, and followup as well as AR/MR/VR tools for patient rehabilitation. We discuss challenges, techniques, and principles in applying Extended Reality in these contexts and outline opportunities for future research. References: https://dl.acm.org/citation.cfm?id=3359418 This course was also presented in Toronto in two additional talks.
Knowledge mining and Semantic Models: from Cloud to Smart CityPaolo Nesi
Course for the Doctorate in Information Technologies, DIST, at DINFO UNIFI
Pierfrancesco Bellini, Paolo Nesi, DISIT Lab
Dipartimento di Ingegneria dell’Informazione, DINFO
Università degli Studi di Firenze,Via S. Marta 3, 50139, Firenze, Italy
Tel: +39-055-2758511, fax: +39-055-2758570
http://www.disit.dinfo.unifi.it alias http://www.disit.org
Pierfrancesco.bellini@unifi.it , Paolo.nesi@unifi.it
.
program:
From RDF to OWL
Knowledge engineering for Beginners
Smart Cloud Application (ICARO Case)
Big Data Smart City Architecture
Smart-city Ontology
Data Ingestion and Mining
Distributed and real time processes
RDF processing
Smart City Engine
Development Interfaces
Sii-Mobility
The 2011 IEEE/WIC/ACM International Conference on Web Intelligence » industry...Francois Pouilloux
The industry day of the conference aims to bring together people from both academia and industry in a venue that highlights application and practical impact.
I'm pleased to present there on August 22nd 2011.
Stay tuned for the prez file after the event !
I-ESA 2010, The International Conference on Interoperability for Enterprise S...Le Scienze Web News
I-ESA 2010, The International Conference on Interoperability for Enterprise Software and Applications
COVENTRY, United Kingdom
Doctoral Symposium: April 12th, 2010
Workshop Day: April 13th, 2010
Conference: April 14th – 15th, 2010
Presentation includes illustrative scenarios where citizens interact wtih AI systems and then goes on to talk about what knowledge, skills and attitudes are needed to use digital technologies in a safe, responsible and critical way.
Software Engineering and Internet Technologies Laboratory - SEIT labChristos Mettouris
The Software Engineering and Internet Technologies Laboratory (SEIT) lab is part of the Computer Science Department of the University of Cyprus. The lab focuses its research activities on two important areas of Information Technology, namely Software Engineering and Internet Technologies. In the first area, SEIT focuses on Cloud Computing, Service Oriented Architectures, Context-Aware Middleware Platforms and Smart and Mobile Computing for the development of pervasive, self-adaptive applications and Smart IoT services. In the second area, the Laboratory concentrates on the development of ICT-enabled Environments, platforms and tools for implementing Health monitoring and support services, Smart and Personalised services for Elders, Assistive Technologies for people with disabilities and Creativity services. The lab also pursues activities related to Technology Enhanced Learning, E-Business, E-Government and developing environments for elders' social inclusion, active ageing and independent living. Finally, the lab's research is also related to Creativity, Recommender Systems and Crowd Sourcing.
AI+Labor Markets Presentation to CSM-16-may-2024Joaquim Jorge
Presentation Title: AI & Labor Markets
Presenter: Joaquim Jorge
Description:
Explore the transformative impact of Artificial Intelligence (AI) on labor markets in this comprehensive presentation by Joaquim Jorge. This insightful slideset delves into the opportunities and challenges that AI integration brings to various industries, highlighting key AI techniques and their real-world applications.
Bias in Hiring and Firing:
The presentation critically examines biases in AI systems used for hiring and firing decisions:
Hiring Bias: Instances where AI systems, like LinkedIn’s recommendation system and OpenAI's GPT, have shown biases in résumé ranking and job advertisements, including gender bias and cost-efficiency algorithms inadvertently favoring male candidates.
Firing Bias: AI's role in monitoring productivity and making termination decisions, with examples from Amazon’s “Time off Task” system and Uber’s driver performance metrics, highlighting unfair terminations affecting minority groups.
Mitigation Strategies:
Bias Audits: Regularly auditing AI systems to identify and mitigate biases.
Diverse Training Data: Ensuring training data are diverse and representative of all demographic groups.
Human Oversight: Implementing human oversight to review and validate AI decisions.
Explainable AI (XAI): Making AI decisions transparent and accountable to detect and correct biases.
Future of Labor Markets:
The presentation explores potential futures of labor markets with AI, presenting both utopian and dystopian scenarios:
Utopian Scenario: AI could lead to increased worker satisfaction by automating repetitive tasks, creating new career opportunities, and reducing physical labor demands, resulting in better work-life balance and economic opportunities.
Dystopian Scenario: AI could widen the economic divide, increase job precarity, and erode worker rights. Risks include increased surveillance, loss of autonomy, and the social and psychological impacts of job displacement.
Key Takeaways:
Understand the role and impact of different AI technologies in various sectors.
Recognize and address biases in AI systems, especially in hiring and firing decisions.
Explore potential futures of labor markets with AI integration.
Learn strategies for ensuring ethical and fair AI applications.
This presentation is essential for professionals, researchers, and policymakers interested in the intersection of AI and labor markets, providing a detailed analysis of current trends, challenges, and future possibilities.
Artificial Intelligence: Facts and MythsJoaquim Jorge
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts.
In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences.
The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo.
A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media.
The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies.
Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications.
In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
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IUI 2010: An Informal Summary of the International Conference on Intelligent ...J S
Highlights from the main track, poster/demo-session & the VISSW/UDISW/EGIHMI workshops. This is an informal compilation of personal notes from the conference & proceedings, twitter (#iui2010), Ian Ozsvald's blog (http://ianozsvald.com/), and other sources. Citations were not coherently possible, so I chose to stick with links instead. Please let me know if you'd like to see your work more thoroughly referenced.
The growing interest of Augmented Reality (AR) together with the renaissance of
Virtual Reality (VR) has opened new approaches and techniques on how professionals interact with medical imagery, plan, train and perform surgeries and also help people with special needs in Rehabilitation tasks. Indeed, many medical specialties already rely on 2D and 3D image data for diagnosis, surgical planning, surgical navigation, medical education or patient-clinician communication.
However, the vast majority of current medical interfaces and interaction techniques continue
unchanged, while the most innovative solutions have not unleashed the full potential of VR and
AR. This is probably because extending conventional workstations to accommodate VR and AR
interaction paradigms is not free of challenges. Notably, VR and AR-based workstations,
besides having to render complex anatomical data in interactive frame rates, must promote
proper anatomical insight, boost visual memory through seamless visual collaboration between
professionals, free interaction from being seated at a desk (e.g., using mouse and
keyboard) to adopt non-stationary postures and freely walk within a workspace, and must also
support a fluid exchange of image data and 3D models as this fosters interesting discussions
to solve clinical cases. Moreover, VR and AR-based techniques must also be designed
according to good human-computer interaction principles since it is well known that medical
professionals can be resistant to changes in their workflow. In this course, we will survey recent approaches to healthcare, including diagnosis, surgical training, planning, and followup as well as AR/MR/VR tools for patient rehabilitation. We discuss challenges, techniques, and principles in applying Extended Reality in these contexts and outline opportunities for future research. References: https://dl.acm.org/citation.cfm?id=3359418 This course was also presented in Toronto in two additional talks.
Knowledge mining and Semantic Models: from Cloud to Smart CityPaolo Nesi
Course for the Doctorate in Information Technologies, DIST, at DINFO UNIFI
Pierfrancesco Bellini, Paolo Nesi, DISIT Lab
Dipartimento di Ingegneria dell’Informazione, DINFO
Università degli Studi di Firenze,Via S. Marta 3, 50139, Firenze, Italy
Tel: +39-055-2758511, fax: +39-055-2758570
http://www.disit.dinfo.unifi.it alias http://www.disit.org
Pierfrancesco.bellini@unifi.it , Paolo.nesi@unifi.it
.
program:
From RDF to OWL
Knowledge engineering for Beginners
Smart Cloud Application (ICARO Case)
Big Data Smart City Architecture
Smart-city Ontology
Data Ingestion and Mining
Distributed and real time processes
RDF processing
Smart City Engine
Development Interfaces
Sii-Mobility
The 2011 IEEE/WIC/ACM International Conference on Web Intelligence » industry...Francois Pouilloux
The industry day of the conference aims to bring together people from both academia and industry in a venue that highlights application and practical impact.
I'm pleased to present there on August 22nd 2011.
Stay tuned for the prez file after the event !
I-ESA 2010, The International Conference on Interoperability for Enterprise S...Le Scienze Web News
I-ESA 2010, The International Conference on Interoperability for Enterprise Software and Applications
COVENTRY, United Kingdom
Doctoral Symposium: April 12th, 2010
Workshop Day: April 13th, 2010
Conference: April 14th – 15th, 2010
Presentation includes illustrative scenarios where citizens interact wtih AI systems and then goes on to talk about what knowledge, skills and attitudes are needed to use digital technologies in a safe, responsible and critical way.
Software Engineering and Internet Technologies Laboratory - SEIT labChristos Mettouris
The Software Engineering and Internet Technologies Laboratory (SEIT) lab is part of the Computer Science Department of the University of Cyprus. The lab focuses its research activities on two important areas of Information Technology, namely Software Engineering and Internet Technologies. In the first area, SEIT focuses on Cloud Computing, Service Oriented Architectures, Context-Aware Middleware Platforms and Smart and Mobile Computing for the development of pervasive, self-adaptive applications and Smart IoT services. In the second area, the Laboratory concentrates on the development of ICT-enabled Environments, platforms and tools for implementing Health monitoring and support services, Smart and Personalised services for Elders, Assistive Technologies for people with disabilities and Creativity services. The lab also pursues activities related to Technology Enhanced Learning, E-Business, E-Government and developing environments for elders' social inclusion, active ageing and independent living. Finally, the lab's research is also related to Creativity, Recommender Systems and Crowd Sourcing.
AI+Labor Markets Presentation to CSM-16-may-2024Joaquim Jorge
Presentation Title: AI & Labor Markets
Presenter: Joaquim Jorge
Description:
Explore the transformative impact of Artificial Intelligence (AI) on labor markets in this comprehensive presentation by Joaquim Jorge. This insightful slideset delves into the opportunities and challenges that AI integration brings to various industries, highlighting key AI techniques and their real-world applications.
Bias in Hiring and Firing:
The presentation critically examines biases in AI systems used for hiring and firing decisions:
Hiring Bias: Instances where AI systems, like LinkedIn’s recommendation system and OpenAI's GPT, have shown biases in résumé ranking and job advertisements, including gender bias and cost-efficiency algorithms inadvertently favoring male candidates.
Firing Bias: AI's role in monitoring productivity and making termination decisions, with examples from Amazon’s “Time off Task” system and Uber’s driver performance metrics, highlighting unfair terminations affecting minority groups.
Mitigation Strategies:
Bias Audits: Regularly auditing AI systems to identify and mitigate biases.
Diverse Training Data: Ensuring training data are diverse and representative of all demographic groups.
Human Oversight: Implementing human oversight to review and validate AI decisions.
Explainable AI (XAI): Making AI decisions transparent and accountable to detect and correct biases.
Future of Labor Markets:
The presentation explores potential futures of labor markets with AI, presenting both utopian and dystopian scenarios:
Utopian Scenario: AI could lead to increased worker satisfaction by automating repetitive tasks, creating new career opportunities, and reducing physical labor demands, resulting in better work-life balance and economic opportunities.
Dystopian Scenario: AI could widen the economic divide, increase job precarity, and erode worker rights. Risks include increased surveillance, loss of autonomy, and the social and psychological impacts of job displacement.
Key Takeaways:
Understand the role and impact of different AI technologies in various sectors.
Recognize and address biases in AI systems, especially in hiring and firing decisions.
Explore potential futures of labor markets with AI integration.
Learn strategies for ensuring ethical and fair AI applications.
This presentation is essential for professionals, researchers, and policymakers interested in the intersection of AI and labor markets, providing a detailed analysis of current trends, challenges, and future possibilities.
Artificial Intelligence: Facts and MythsJoaquim Jorge
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts.
In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences.
The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo.
A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media.
The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies.
Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications.
In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Recent advances in VR and AR technology have enabled interactive graphics applications to support healthcare professionals in training, diagnosis, planning, and treatment. This field has progressed enough to warrant a course that can inspire new ideas within the graphics community. Medical images create virtual human anatomy models, allowing for natural interaction and visualization in healthcare scenarios. VR and AR are conceptually different and suited for different types of problems. VR is immersive and suitable for learning anatomy, surgical skills, and analyzing 3D medical data. AR, on the other hand, overlays helpful information onto the physical environment, making it useful for tasks such as communication with patients and training assistants. However, several challenges, such as nonstandard equipment and disorientation, still limit the widespread use of these technologies. This course covers current advances and challenges in this area, including integrating AI techniques.
About the Speaker: Joaquim Jorge holds the UNESCO Chair of Artificial Intelligence & Extended Reality at the University of Lisboa, Portugal. He joined Eurographics in 1986 and ACM/SIGGRAPH in 1989. He is Editor-in-Chief of the Computers and Graphics Journal, Eurographics Fellow, ACM Distinguished Member, and member of IEEE Computer Society Board of Governors. He organized 50+ conferences, including Eurographics 2016 (IPC CO-Chair), IEEE VR 2020/21/22 as co-(papers)chair, and ACM IUI 2012 (IPC co-chair). He served on 210+ program committees and (co)authored over 360 peer-reviewed publications and five books. His research interests include graphics, virtual reality, and advanced HCI techniques applied to health technologies.
Websites:
https://en.wikipedia.org/wiki/Joaquim_Jorge_(computer_scientist)
Google Scholar:
https://scholar.google.com/citations?user=RgiMdpAAAAAJ&hl=en
D.S. Lopes, D. Medeiros, S.F. Paulo, P.B. Borges, V. Nunes, V. Mascarenhas, M. Veiga, J.A. Jorge, Interaction Techniques for Immersive CT Colonography: A Professional Assessment, In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol 11071, Pages 629–637, Springer, Cham, 2018. DOI: 10.1007/978-3-030-00934-2_70
M. Sousa, D. Mendes, S. Paulo, N. Matela, J. Jorge, D.S. Lopes, VRRRRoom: Virtual Reality for radiologists in the reading room, Proceedings of the 35th Annual ACM Conference on Human Factors in Computing Systems (CHI 2017), New York: ACM Press, 2017. DOI: 10.1145/3025453.3025566
D.S. Lopes, P.F. Parreira, S.F. Paulo, V. Nunes, P.A. Rego, M.C. Neves, P.S. Rodrigues, J.A. Jorge, On the utility of 3D hand cursors to explore medical volume datasets with a touchless interface, Journal of Biomedical Informatics, 72, Pages 140–149, 2017. DOI: 10.1016/j.jbi.2017.07.009
Invited paper from the Computers & Graphics Journal Presented at the SMI 2023 Conference in Genoa, Italy on July 4th 2023. Abstract: Highly complex and dense models of 3D objects have recently become indispensable in digital industries. Mesh decimation then plays a crucial role in the production pipeline to efficiently get visually convincing yet compact expressions of complex meshes. However, the current pipeline typically does not allow artists control the decimation process, just a simplification rate. Thus a preferred approach in production settings splits the process into a first pass of saliency detection highlighting areas of greater detail, and allowing artists to iterate until satisfied before simplifying the model. We propose a novel, efficient multi-scale method to compute mesh saliency at coarse and finer scales, based on fast mesh entropy of local surface measurements. Unlike previous approaches, we ensure a robust and straightforward calculation of mesh saliency even for densely tessellated models with millions of polygons. Moreover, we introduce a new adaptive subsampling and interpolation algorithm for saliency estimation. Our implementation achieves speedups of up to three orders of magnitude over prior approaches. Experimental results showcase its resilience to problem scenarios that efficiently scales up to process multi-million vertex meshes. Our evaluation with artists in the entertainment industry also demonstrates its applicability to real use-case scenarios.
Authors:
Rafael Kuffner dos Anjos, Leeds, UK
Richard Andrew Roberts and Benjamin Allen, VUW, NZ,
Joaquim Jorge, INESC-ID, U Lisboa, PT
Ken Anjyo, OLM, JP
How to Craft and Deliver Winning PresentationsJoaquim Jorge
Public speaking is often referred to as a soft skill. However, your career, your job opportunities, promotion, and tenure (for professors) are intrinsically tied to being able to speak in public and persuade others of your ideas.
Being able to "sell" your work, opinions, ideas, and points of view can be as important as being good at Math, Coding, and doing good science.
Many tend to ignore this (at their peril). This talk will present ways to make your ideas, thoughts, and theses look appealing, engaging and engaging to others. While I am using PowerPoint, these practices and techniques will work equally well if you have PDF slides, Keynote presentations, or even (gasp!) Prezi...
I will also cover slide preparation techniques, practical multimedia advice, and delivery how-tos (and not-tos).
Bio: Joaquim Jorge heads the Graphics and Interaction Research Line at INESC-ID and is a Full Professor of Computer Science at Instituto Superior Técnico (IST), the School of Engineering of the University of Lisboa, Portugal, and is Editor-in-Chief of the Computers and Graphics Journal. He received Ph.D. and MSc degrees in Computer Science from Rensselaer Polytechnic Institute, Troy, NY, in 1995 and a BSEE from IST in 1984. An organizer of 50+ scientific conferences, Jorge has preferred over 42 invited talks and public presentations. He is a Distinguished Speaker and Member of the Association for Computing Machinery (ACM) and a Distinguished Visitor of the Institute of Electrical and Electronics Engineers (IEEE). He received the IFIP Silver Core in 2014 and is a Fellow of the Eurographics Association.
Anatomy Studio: a Tool for Virtual Dissection Through Augmented 3D Reconstruc...Joaquim Jorge
3D reconstruction from anatomical slices allows anatomists to reconstruct real structures by tracing organs from a lengthy series of cryosections.
Notwithstanding, conventional interfaces rely on isolated single-user experiences using mouse-based input for tracing.
In this work, we present Anatomy Studio, a collaborative mixed-reality approach, combined with tablets and styli, to assist anatomists by easing manual image segmentation and exploration tasks.
We contribute novel interaction techniques intended to promote spatial understanding and expedite manual segmentation.
By using mid-air interactions and interactive surfaces, anatomists can easily access any cryosection and edit contours, while following other user's contributions.
A user study including experienced anatomists and medical professionals, conducted in real working sessions, demonstrates that Anatomy Studio is appropriate and useful for 3D reconstruction.
Results indicate that our approach encourages closely-coupled collaborations and group discussion.
We also discuss the implications of our work and provide domain insights.
top 10 ways to get your paper rejected at Computers and Graphics JournalJoaquim Jorge
How NOT to get your paper published at the Computers and Graphics Journal. Top 10 mistakes you must do to help Editors and Reviewers Reject your paper. Also, some career advice for Computer Graphics and Interactive Techniques Researchers. Contains advice to students and researchers on traps and pitfalls to avoid.
Touching More than 3 Dimensions Research Into Novel Interfaces – three dimen...Joaquim Jorge
Work on interactive tabletops and surfaces has focused mostly on two-dimensional issues, such as multi-finger gestures and tangible interaction. Interesting as it is, however this picture is missing several dimensions. I will describe work on 2D and 3D semi-immersive environments and present novel on-and-above-the-surface techniques based on bi-manual models to take advantage of the continuous interaction space for creating and editing 3D models in stereoscopic environments. I will also discuss means to allow for more expressive interactions, including novel uses of sound and combining hand and finger tracking in the space above the table with multitouch gestures on its surface continuously. These combinations can provide alternative design environments and allow novel interaction modalities.
Game Over? New Approaches to Teaching Engineering CoursesJoaquim Jorge
Keynote Presentation at SIGGRAPH Asia Symposium on Education
Kobe, Japan November 1st 2015
Abstract: Gamification has been explored recently as a way to promote content delivery in education, yielding promising results. However, little is known regarding how it helps different students experience learning and acquire knowledge.
In this talk I discussed our experiences with gamified engineering courses and the reactions of students to the gamified experience.
By examining student performance and attitude data collected from several years we identified distinct student types.
I described the different student types, according to behavior and explained how gamification can provide for smarter learning by catering to students with different profiles.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
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New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Virtual Reality for Health Applications - siggraph asia 2018
1. Approaches and Challenges to
Immersive Visualization in
Health Care
Joaquim Jorge
Daniel Simões Lopes
INESC-ID & IST / U Lisboa
2. Joaquim Jorge
Instituto Superior Técnico
Universidade de Lisboa
Visualization and Multimodal Interfaces
@ INESC-ID Lisboa
http://web.ist.utl.pt/jorgej
ACM/SIGGRAPH Special Conferences
Committee Chair
Editor Computers & GraphicsResearch Interests:
Calligraphic Interaction,
Multimodal Interfaces,
Graphical Modeling
3. Daniel Simões Lopes
Instituto Superior Técnico
UT Austin / Portugal
Assistant Professor
Heads Biomedical Research Line
PI of project IT-MEDEX
http://web.ist.utl.pt/daniel.s.lopesResearch Interests:
Computational Geometry,
Interactive Computer Graphics,
Computer-Aided Healthcare,
Interactive Visualization
14. VR for Radiologists in the Reading Room
https://www.youtube.com/watch?v=bsNwV4BhJOw
15. VR 4 Radiologists in the Reading ROOM
Evaluation
Radiology Neuroradiology
Gynecology
Surgery Dental Implantology
Obstetrics
Medical Specialities
5 no previous experience in VR
What motivates our work is the need to find more natural ways to interact with the digital content, in particular the one represented here: three-dimensional medical images.
There are many imaging modalities such as CT, MRI, PET, nuclear medicine images ...
Such images are rich in anatomical and physiological information, some modalities have high spatial resolution and high color resolution (CT and MRI).
3D images are everywhere as they can be found in several healthcare scenarios: education, medical illustration, diagnosis, surgery, patient-clinician communication, etc
Three-dimensional images are a bunch of slices, stacked on top of each other forming a parallelepiped, i.e., a volume of images.
Usually, a volume is visualized along the canonical planes (axial, sagittal, coronal plane) leaving the user with the difficult and tedious task to mentally reconstruction the anatomical content in three dimensions.
This cognitive load gives the user a sense of three-dimensionality but ...
... in fact this type of representation, a “Volume Rendering”, helps the user a lot more to grasp the three-dimensional nature of the data.
And if we add AR or VR to the mixture ... the possibilities of interactive visualization are endless!
There are several different scenarios where interactive technologies can make a difference in how we see, manipulate and read 3D images.
The most obvious one is Medical Education. For instance, we can have students around an interactive surface discussing subject-specific content and learning radiologic anatomy.
Another scenario is Radiodiagnostics, where Virtual Reality can have a positive impact on the way radiologists read images.
Believe it or not, a radiologist’s judgment can be seriouly influenced by bad illumination conditions (glare, glitter, glow, ...) and poor ergonomic/posture practices.
Most often they need to constantly adjust lighting conditions, display orientation and position, correct their posture, etc, just to find a more proper setting to read images.
So, we propose a novel approach ….
That is cheaper and more portable than the current ideal reading room
That establishes VR as a tool to attenuate or even cancel out the factors that can cause diagnostic errors
We also contribute with a natural and easy to adopt interaction technique
So, we propose a novel approach ….
That is cheapest and more portable than the current ideal reading room
That establishes VR as a tool to attenuate or even cancel out the factors that can cause diagnostic errors
We also contribute with a natural and easy to adopt interaction technique
6 medical professionals attended our evaluation trials
2 of them radiologists
all of them reported that they use these medical images every day
Only one participant reported experience in VR
Conventional CT Colonography workstations require the expert to be seated at a desk in front of a flat display and interacting with complex radiological data using mouse and keyboard interfaces
Conventional CTC navigation does enables Fly-Through visualization this simulates conventional optical colonoscopy as the camera follows antegrade (rectum→cecum) or retrograde (cecum→rectum) paths.