OPENING KEYNOTE — MICHAEL ABRAMOFF: Leveraging Autonomous AI to Solve Disparities in Healthcare

May 23 | 12:00–12:45pm EDT (1:00–1:45pm ADT in Bermuda)
SAIL 2022: Symposium on Artificial Intelligence for Learning Health Systems
An international conference on Integrating AI into Clinical Medicine
Learn more at sail.health
Twitter: #SAIL22
Speaker: Michael Abramoff, Professor of Ophthalmology, University of Iowa; Founder and Executive Chairman, Digital Diagnostics Technologies

Abstract: 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.

Michael Abramoff, MD, PhD is the Founder and Executive Chairman of Digital Diagnostics, the autonomous AI diagnostics company which was the first in any field of medicine to get FDA authorization for an autonomous AI. In primary care, the AI system can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff’s achievements include development of the first ethical foundation for autonomous AI (2020), the first incorporation of AI into standards of care, as well as ultimately widespread payment for AI as a diagnostic service (2020). These achievements have already led to better outcomes for thousands of patients worldwide, through improved access, lower cost, and higher quality of care. As a Professor of Ophthalmology at the University of Iowa, Dr. Abramoff continues to see patients and has mentored dozens of graduate students, ophthalmology residents, and retina fellows. He currently chairs the Foundational Principles for Ophthalmic Imaging and Algorithmic Interpretation AI workgroup instigated by FDA.

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