SAIL 2022- Symposium on Artificial Intelligence for Learning Health Systems
Event Information
About this event
This year we will be live-streaming the following sessions:
Opening Keynote by Michael Abramoff - May 23 from 12:00-12:45pm ET
Leveraging autonomous AI to solve disparities in healthcare
Autonomous AI in healthcare has huge potential to improve patient outcomes, lower healthcare costs, and increase access. Join Michael Abramoff, MD, PhD as he expounds on the need for an ethical foundation when developing and implementing autonomous AI and the struggles and triumphs of creating a new industry in healthcare. Applying autonomous AI technology in the medical diagnosis and treatment process makes it possible to transform the accessibility, affordability, equity, and quality of global healthcare to solve healthcare disparities.
Fireside Chat - May 23 from 2:30-3:30pm ET
AI in Medical Publishing
Get cozy with the editors of The New England Journal of Medicine, Nature Medicine and The Lancet Digital Health. At this fireside chat the topic will be on what it takes to get artificial intelligence and other computational-driven papers published in top tier journals. What are the experiments that editors are looking for? What are the innovations that get them excited? Ask your questions, get some answers.
Closing Keynote by Amy Abernethy - May 24 from 10:00-10:45am ET
Regulating AI in Healthcare - Now and Into the Future
The use of ML and AI across health care is rapidly increasing, as all stakeholders adjust to new norms accelerated by the COVID-19 pandemic, and as the evidence generation landscape expands and evolves. This talk will explore the regulatory perspective, looking at the FDA’s AI/ML-Based Software as a Medical Device Action Plan, the Data and Technology Modernization Action Plans, and other initiatives that are shaping agency expectations and capabilities, now and into the future. It will also include lessons learned on how researchers, technologists, and study sponsors can best engage with regulators in order to advance novel and breakthrough technologies that can improve patient care.