1) Robotic surgery uses robotic systems like the da Vinci robot to allow surgeons to operate remotely through telemanipulators or computer control, enabling more precise procedures.
2) Artificial intelligence and machine learning are being used to help guide surgical planning, perform autonomous procedures, and generate automated reports from analysis of surgical tasks and outcomes.
3) Deep learning models are being developed and applied to areas like object detection, image classification, and segmentation to help analyze medical images and assess surgical skills.
Artificial intelligence in Robotic SurgerySiwan Amit
this ppt contain moving picture which are not working on this website if you want original than comment below i will provide link to you.
a little information about robotic surgery.
have any query ask me by email on amitsiwaan@gmail.com
i am doing msc in computer science.
Artificial intelligence in Robotic SurgerySiwan Amit
this ppt contain moving picture which are not working on this website if you want original than comment below i will provide link to you.
a little information about robotic surgery.
have any query ask me by email on amitsiwaan@gmail.com
i am doing msc in computer science.
Robotic surgery :-
Definition
limitations
History
Types
Applications
Advantages and disadvantages
Reference
,robotic surgery ,applications of robotic surgery ,advantages of robotic surgery ,disadvantages of robotic surgery ,uses of robotic surgery ,cardiac surgery ,gynecology ,neurosurgery ,radio surgery ,shared control robotic surgery ,da vinci robotic surgical system ,tele surgery system ,types of robotic surgery ,history of robotic surgery
Robotic Surgery by muthugomathy and meenakshi shetti.Qualcomm
Here is the very animatedly designed Presentation that explains briefly about Robotic Surgery , Uses of Robobic Surgery, Robotic Surgery Advantages and Disadvantages and about its future scope.
Robotic Surgery(minimally invasive surgery)Sgtm Saha
robotic surgery,minimally invasive surgery,MIS,the vinci surgical process,leproscopy surgey, 5 mins representation,BCDA College of pharmacy, SGTM, Swagatam Saha,WBUT Board,6th sem.
This document presents the robot Da Vinci the revolutionary endoscopic surgical device to assist remote control surgeries. Integrated Surgical Systems (now Intuitive Surgery, Inc.) redesigned the SRI Green Telepresence Surgery system and created the daVinci Surgical System classified as a master-slave surgical system. It uses true 3-D visualization and EndoWrist. It was approved by FDA in July 2000 for general laparoscopic surgery, in November 2002 for mitral valve repair surgery. The da Vinci robot is currently being used in various fields such as urology, general surgery, gynecology, cardio-thoracic, pediatric and ENT surgery. It provides several advantages to conventional laparoscopy such as 3D vision, motion scaling, intuitive movements, visual immersion and tremor filtration
At the 35th AICC-RCOG Annual Conference in association with FOGSI and MOGS, Dr. Niranjan Chavan, President of MOGS, gave an address on Artificial Intelligence in Gynaecologic Oncology at Taj Lands' End, Bandra, Mumbai on the 6th November 2022
Hyperthermic Intraperitoneal Chemotherapy for Peritoneal Surface MalignanciesMary Ondinee Manalo Igot
The prognosis of most peritoneal surface malignancies were previously dismal. However, with the incorporation of HIPEC to standard of care, we have been seeing doubling of survival for select malignancies. Appropriate patient selection is crucial.
Robotic colorectal surgery technique, advantages, disadvantages and its impac...Apollo Hospitals
The use of robotics in colorectal surgery is gaining momentum of late. Technical advances, such as three-dimensional imaging, a stable camera platform, excellent ergonomics, tremor elimination, ambidextrous capability, motion scaling and instruments with multiple degrees of freedom, have helped many surgeons adapt to it easily. There is a shorter learning curve compared to the standard laparoscopic surgery. This article helps to give an outline as to how robotic colorectal surgery can go a long way in the future of colorectal surgery.
It is a presentation of Robotic Surgery. Medical Science is using so many techniques for performing surgeries. Robotic Surgery is one of them. For detail document please send me mail...abhilashpillai13@gmail.com
Robotic surgery is a type of minimally invasive surgery. “Minimally invasive” means that instead of operating on patients through large incisions, we use miniaturized surgical instruments that fit through a series of quarter-inch incisions.
A 2019 update on the current role of robotics and simulation in neurosurgery with updates from the recent edition of Youman and Winn's Textbook of Neurosurgery. Videos in the presentation cannot be uploaded but can be viewed from youtube.
Robotic surgery :-
Definition
limitations
History
Types
Applications
Advantages and disadvantages
Reference
,robotic surgery ,applications of robotic surgery ,advantages of robotic surgery ,disadvantages of robotic surgery ,uses of robotic surgery ,cardiac surgery ,gynecology ,neurosurgery ,radio surgery ,shared control robotic surgery ,da vinci robotic surgical system ,tele surgery system ,types of robotic surgery ,history of robotic surgery
Robotic Surgery by muthugomathy and meenakshi shetti.Qualcomm
Here is the very animatedly designed Presentation that explains briefly about Robotic Surgery , Uses of Robobic Surgery, Robotic Surgery Advantages and Disadvantages and about its future scope.
Robotic Surgery(minimally invasive surgery)Sgtm Saha
robotic surgery,minimally invasive surgery,MIS,the vinci surgical process,leproscopy surgey, 5 mins representation,BCDA College of pharmacy, SGTM, Swagatam Saha,WBUT Board,6th sem.
This document presents the robot Da Vinci the revolutionary endoscopic surgical device to assist remote control surgeries. Integrated Surgical Systems (now Intuitive Surgery, Inc.) redesigned the SRI Green Telepresence Surgery system and created the daVinci Surgical System classified as a master-slave surgical system. It uses true 3-D visualization and EndoWrist. It was approved by FDA in July 2000 for general laparoscopic surgery, in November 2002 for mitral valve repair surgery. The da Vinci robot is currently being used in various fields such as urology, general surgery, gynecology, cardio-thoracic, pediatric and ENT surgery. It provides several advantages to conventional laparoscopy such as 3D vision, motion scaling, intuitive movements, visual immersion and tremor filtration
At the 35th AICC-RCOG Annual Conference in association with FOGSI and MOGS, Dr. Niranjan Chavan, President of MOGS, gave an address on Artificial Intelligence in Gynaecologic Oncology at Taj Lands' End, Bandra, Mumbai on the 6th November 2022
Hyperthermic Intraperitoneal Chemotherapy for Peritoneal Surface MalignanciesMary Ondinee Manalo Igot
The prognosis of most peritoneal surface malignancies were previously dismal. However, with the incorporation of HIPEC to standard of care, we have been seeing doubling of survival for select malignancies. Appropriate patient selection is crucial.
Robotic colorectal surgery technique, advantages, disadvantages and its impac...Apollo Hospitals
The use of robotics in colorectal surgery is gaining momentum of late. Technical advances, such as three-dimensional imaging, a stable camera platform, excellent ergonomics, tremor elimination, ambidextrous capability, motion scaling and instruments with multiple degrees of freedom, have helped many surgeons adapt to it easily. There is a shorter learning curve compared to the standard laparoscopic surgery. This article helps to give an outline as to how robotic colorectal surgery can go a long way in the future of colorectal surgery.
It is a presentation of Robotic Surgery. Medical Science is using so many techniques for performing surgeries. Robotic Surgery is one of them. For detail document please send me mail...abhilashpillai13@gmail.com
Robotic surgery is a type of minimally invasive surgery. “Minimally invasive” means that instead of operating on patients through large incisions, we use miniaturized surgical instruments that fit through a series of quarter-inch incisions.
A 2019 update on the current role of robotics and simulation in neurosurgery with updates from the recent edition of Youman and Winn's Textbook of Neurosurgery. Videos in the presentation cannot be uploaded but can be viewed from youtube.
Autonomous Camera Movement for Robotic-Assisted Surgery: A SurveyIJAEMSJORNAL
In the past decade, Robotic-Assisted Surgery (RAS) has become a widely accepted technique as an alternative to traditional open surgery procedures. The best robotic assistant system should combine both human and robot capabilities under the human control. As a matter of fact robot should collaborate with surgeons in a natural and autonomous way, thus requiring less of the surgeons’ attention. In this survey, we provide a comprehensive and structured review of the robotic-assisted surgery and autonomous camera movement for RAS operation. We also discuss several topics, including but not limited to task and gesture recognition, that are closely related to robotic-assisted surgery automation and illustrate several successful applications in various real-world application domains. We hope that this paper will provide a more thorough understanding of the recent advances in camera automation in RSA and offer some future research directions.
deep learning applications in medical image analysis brain tumorVenkat Projects
The tremendous success of machine learning algorithms at image recognition tasks in recent years intersects with a time of dramatically increased use of electronic medical records and diagnostic imaging. This review introduces the machine learning algorithms as applied to medical image analysis, focusing on convolutional neural networks, and emphasizing clinical aspects of the _eld. The advantage of machine learning in an era of medical big data is that signi_cant hierarchal relationships within the data can be discovered algorithmically without laborious hand-crafting of features. We cover key research areas and applications of medical image classi_cation, localization, detection, segmentation, and registration. We conclude by discussing research obstacles, emerging trends, and possible future directions.
Classification of pathologies on digital chest radiographs using machine lear...IJECEIAES
This article is devoted to the research and development of methods for classifying pathologies on digital chest radiographs using two different machine learning approaches: the eXtreme gradient boosting (XGBoost) algorithm and the deep convolutional neural network residual network (ResNet50). The goal of the study is to develop effective and accurate methods for automatically classifying various pathologies detected on chest X-rays. The study collected an extensive dataset of digital chest radiographs, including a variety of clinical cases and different classes of pathology. Developed and trained machine learning models based on the XGBoost algorithm and the ResNet50 convolutional neural network using preprocessed images. The performance and accuracy of both models were assessed on test data using quality metrics and a comparative analysis of the results was carried out. The expected results of the article are high accuracy and reliability of methods for classifying pathologies on chest radiographs, as well as an understanding of their effectiveness in the context of clinical practice. These results may have significant implications for improving the diagnosis and care of patients with chest diseases, as well as promoting the development of automated decision support systems in radiology.
Artificial neural network for cervical abnormalities detection on computed to...IAESIJAI
Cervical cancer is the second deadliest after breast cancer in Indonesia.
Sundry diagnostic imaging modalities had been used to decide the location
and severity of cervical cancer, one among those is computed tomography
(CT) Scan. This study handles a CT image dataset consisting of two
categories, abnormal cervical images of cervical cancer patients and normal
cervix images of patients with other diseases. It focuses on the ability of
segmentation and classification programs to localize cervical cancer areas
and classify images into normal and abnormal categories based on the
features contained in them. We conferred a novel methodology for the
contour detection round the cervical organ classified with artificial neural
network (ANN) which was employed to categorize the image data. The
segmentation algorithm used was a region-based snake model. The texture
features of the cervical image area were arranged in the form of gray level
co-occurrence matrix (GLCM). Support vector machine (SVM) had been
added to determine which algorithm was better for comparison.
Experimental results show that ANN model has better receiver operating
characteristic (ROC) parameter values than SVM model’s and existing
approach’s regarding 96.2% of sensitivity, 95.32% of specificity, and
95.75% of accuracy.
We live in an age of a new unpreceded wonders. The wonders of the world are not seven any more. The inanimate talk to us. We are flying in the air. More than 65,000-Ton can float over the water in an iron vessel. The Robotic Doctor is already a reality. Reviewing the history of mankind's cumulative experience starting with the ancient very primitive trials and ending with the presence of Robotic and Telesurgery
Clearly show that the major and rapid advances in the whole mankind's life occur only in the last few decades especially the last 10 years ? .
On July 11, 2000, the Food and Drug Administration (FDA) approved the first completely robotic surgery device, the da Vinci surgical system from Intuitive Surgical (Mountain View, CA).
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Title: Sense of Taste
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 structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
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.
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
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
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journey
Artificial Intelligence & Robotic Surgery 1.pptx
1. Artificial Intelligence : Role Of
The Robotic Surgery In The
Current Era
Muhammed Luqman Osman Wasson
MSc(UK),FEBS(Gen.Surg.),FRCS(Glas.),FRCSEd(Gen.Surg.),FEBS(Surg.Onco.),FCPS(Pak.),AFUGIS(Korea)
Consultant Upper GI & General Surgery
Altnagelvin Hospital, WHSCNI
United Kingdom
2. A Tale Of Five Cities
Bahawalpur Lahore
Riyadh Seoul Londonderry
3. Lexicon Of The Early 21st Century Physician
• Precision Medicine
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Artificial Neural Networks
• Data mining
• Metaverse
• PRECISION SURGERY
• COMPUTER ASSISTED SURGERY
• ROBOTIC / ROBOTIC ASSISTED
SURGERY
• AUTONOMOUS ROBOTIC
SURGERY
• IMAGE GUIDED SURGERY
4. Robot-assisted surgery or robotic surgery are any types of surgical procedures that are performed using
robotic systems, using either a tele-manipulator or a computer.
A telemanipulator e.g. the da Vinci Robot is a
system of remotely controlled manipulators that
allows the surgeon to operate real-time under
stereoscopic vision from a control console
separate from operating table
In Computer controlled systems , the surgeon
uses a computer to relay control data and direct the
robotic arms and its end-effectors e.g. a
telemanipulators for their input. This makes
possible AI or autonomous procedures and
telesurgery
Computer-assisted surgery (CAS) represents a surgical concept and set of methods, that use
computer technology for surgical planning, and for guiding or performing surgical interventions.
CAS is also known as computer-aided surgery, computer-assisted intervention, image-
guided surgery, digital surgery and surgical navigation.
5. Image-guided surgery (IGS) is any surgical procedure where the surgeon uses tracked surgical
instruments in conjunction with preoperative or intraoperative images in order to directly or indirectly
guide the procedure. Image guided surgery systems use cameras, ultrasonic, electromagnetic or a
combination or fields to capture and relay the patient's anatomy and the surgeon's precise movements in
relation to the patient, to computer monitors in the operating room or to augmented reality
headsets (augmented reality surgical navigation technology)
6. Machine learning (ML) is a field devoted to
understanding and building methods that let machines
"learn" – that is, methods that leverage data to improve
computer performance on some set of tasks
Artificial intelligence (AI) is intelligence—perceiving,
synthesizing, and inferring information—demonstrated
by machines, as opposed to intelligence displayed by
non-human animals or by humans.
Deep learning is part of a broader family of machine
learning methods, which is based on artificial neural
networks with representation learning . Learning can be
supervised , semisupervised or unsupervised.
Artificial neural networks (ANNs), usually simply called
neural networks (NNs) or neural nets, are computing
systems inspired by the biological neutral networks that
constitute animal brains.
Artificial
Intelligence
Machine
Learning
Deep
Learning
Artificial
Neural
Networks
7. The ‘Three’ Distinct But Complementary!
Artificial
Intelligence
Computer
Assisted
Surgery
Robotic
Surgery
12. Automated Surgical Performance Report Generation using Artificial Intelligence
Zia A, Guo L, Zhou L, Essa I, Jarc A. Novel evaluation of surgical activity recognition models using task-based efficiency metrics.
International journal of computer assisted radiology and surgery. 2019;14(12):2155-2163
13. Artificial Intelligence &
Health Care Data
1) Object Detection
2) Image Classification
3) Segmentation
4) Skills Assessment
5) Outcome Prediction
14. Image Analysis With Artificial Neural Networks (ANN)
(A) ANNs are capable of classifying images to provide a diagnosis and a measurement of its probability.
(B) Object detection provides localization of a diagnosed object within an image and also provides a
measurement of its probability.
(C) Semantic segmentation provides outlining of the borders of a given object in addition to the diagnosis,
probability, and localization
17. Whether Robotic Surgery is better than
Laparoscopic Surgery?
• The evidence is equivocal
• But there are surgeries where Robotics has made significant impact
on practice : esophagectomy and pelvic surgery
• Obesity is where the Robotics has the upper hand: longer instruments
and manipulation of a heavy abdominal wall becomes much easier
• Higher BMI patients benefit from Robotic Surgery
• Open Surgery is never a question here; to its misfortune, it is
outdated and the way forward is Minimally Invasive !!!
18.
19.
20.
21. Conclusion: the future belongs to AI &
Robotics!
Artificial
Intelligence
Computer
Assisted SUrgery
Robotic Surgery
