Alvin Liu, MD, Johns Hopkins

Bio:- Dr. T. Y. Alvin Liu attended Phillips Exeter Academy, Cornell University (B.A.) and Columbia University (M.D.). He completed his ophthalmology residency and vitreoretinal fellowship training at the Wilmer Eye Institute at Johns Hopkins University (JHU). Currently, he holds dual faculty appointments at the JHU School of Medicine and School of Engineering. He is an Endowed Professor of Artificial Intelligence in Ophthalmology, and the Inaugural Director of the James P. Gills Jr. M.D. and Heather Gills Artificial Intelligence Innovation Center, which is the first dedicated endowed ($10 million) AI center at the JHU School of Medicine. As an interdisciplinary strategist at the intersection of venture capital, startup companies and health systems, he specializes in the implementation and scaling of healthcare artificial intelligence (AI) technologies in both clinical and operational domains, for example autonomous AI for diabetic retinopathy screening and generative AI for revenue cycle management. He has operational experience in various processes that are critical for AI deployment, including incentive alignment of stakeholders, IT integration, workflow design, key performance indicator establishment, and change management. In terms of AI governance, he serves a co-chair of the AI and Data Trust Council, a leadership team that oversees all AI initiatives across the entire Johns Hopkins Medicine health system in the imaging, clinical and operational domains. Specifically, he is actively involved in codifying and implementing a standardized workflow that governs how AI vendors interact with Johns Hopkins Medicine, enforces responsible deployment of AI tools, and ensures that AI initiatives follow the ethical principles of fairness, transparency, accountability, safety, and evidence-based effectiveness. On a national level, he is a member of the American Academy of Ophthalmology AI Committee, and represents ophthalmology at the American Medical Association AI Specialty Society Collaborative Meeting. He is also on the leadership team at JAMA + AI, a super channel that aggregates all AI content across the network of JAMA academic journals.