mHealth Apps Quality of Mobile Applications in the Arab World
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The document discusses mobile health (mHealth) apps in the Arab world. It aims to discover the Arab world culture related to mHealth, explore the mHealth apps industry in the region, and find investment opportunities for mHealth apps. The speaker, Ali Sanousi, is a fellow in clinical informatics at Harvard Medical School who presented on the quality of mHealth apps in the Arab world at the 2013 Doctors 2.0 & You Conference in Paris.
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The document discusses wireless health and how the convergence of pervasive technologies like ubiquitous sensing, wireless connectivity, cloud computing and social networks can enable diagnosis, therapy and health monitoring anywhere and anytime through individualized and preventative care. It notes that ubiquitous connectivity and computing are bringing unprecedented mobility to other areas like work, entertainment and socializing and that this trend is infiltrating healthcare with the promise of improving quality, convenience, reach and cost of care through wireless health solutions. It also states that there are challenges in medical care and unmet needs across different populations that present big opportunities for rethinking existing healthcare models in developing nations facing double burdens of disease.
AI-In-Medicine Australia (AIMed)
This form is built by clinicians for clinicians, spear-heading this gathering is founder of AIMed Dr Anthony Chang, a US based paediatric cardiologist and chief intelligence and innovation officer at CHOC Children’s Hospital Orange County. Ahead of AIMed’s Sydney Summit which he will chair and present at Dr Chang called for a more patient centric approach to AI-fuelled innovation, leveraging design thinking principles.
Other topics discussed during the forum will include:
*AI in medical imaging - exploring the key aspects of imaging that support the use of AI, as well as the specific challenges that need to be overcome. The lessons from imaging are broadly applicable, allowing us to recognise which healthcare tasks are most amenable to AI intervention.
* Applications and challenges of AI for Health This workshop will cover fundamental aspects of AI, focusing on machine learning. The aim is to provide educated attendees with limited technical background, some understanding of the main Machine Learning techniques and their challenges for healthcare applications such as radiology.
*Predictive healthcare: Predicting the probability of sepsis and adverse outcomes in patients presenting to emergency departments Dr Amith Shetty, Emergency Physician, Westmead Medical Research Unit
AI Data, AI Ethics & AI Safety
The potential of AI in Australian healthcare is exciting, but is our health system able to deliver AI in everyday clinical practice, or to resolve issues of data ownership and trust and invest in the data infrastructure to realize it. The opportunity exists to both transform population health and realise the potential of AI, but only if we can address the issues of ownership of healthcare data. Without this however, opportunities for AI in healthcare will remain just that—opportunities. You can be part of this revolution, have a voice, join the community
Over 30+ clinicians will present at AIMed Summit in Sydney on 12-13 November. REGISTER AT -
http://go.pardot.com/l/805693/2019-10-23/29bmxj
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