Speaker
Description
Artificial Intelligence has an increasingly important role in medicine. It is used to guide treatment decisions, and to enable the development of novel therapies based on the integration of complex multi-modal data. This talk will give an overview of how AI is used in medical imaging and connected modalities to predict disease course or treatment response, or the onset of future disease for prevention. It will high-light opportunities and challenges of AI for diagnosis and prognosis. The second part will address key issues of safety and quality of algorithms including the management of false positives and false negatives, trust, and ethical considerations. Finally, we will discuss the ZODIAC Disease Phenotype Observatory, a global initiative to detect emerging novel diseases early, and to facilitate rapid response and coordination to improve preparedness for future pandemics.
