AI in Medicine: Inclusion and Equity
AI in Medicine: Inclusion and Equity(AiMIE) 2018
The AiMIE (Artificial Intelligence in Medicine: Inclusion & Equity) Symposium recognizes and seeks to explore how AI and technology can help address the deeper problems of access and inequity in healthcare. The Stanford Presence Center is grateful for funding from the Robert Wood Johnson Foundation and our partnerships with the Stanford Center on Poverty and Inequality and the Center for Advanced Study in the Behavioral Sciences (CASBS).
Engaging physicians, scientists, public health professionals, humanists, ethicists, technologists, policy leaders, activists, legal professionals, non-profits, funders, patients, and the larger community, we plan to focus on the hope, the hype, the promise, the peril of AI in medicine, with a specific focus on equity and inclusion. Topics will include (but are not limited to): demystifying the ABCs of AI and ML (machine learning); the current realities of poverty in America; the need and importance of improving the evidence base through data diversity; neutralizing the algorithmic bias and related problems; the barriers and challenges; the possible power of AI/ML in Medicine.
Speakers and Panelists
John Ioannidis, MD
C.F. Rehnborg Professor in Disease Prevention, Professor of Health Research and Policy (Epidemiology), and by courtesy, of Statistics and Biomedical Data Science
Co-Director, Meta-Research Innovation Center at Stanford; Director of the PhD program in Epidemiology and Clinical Research.
Professor of Biomedical Informatics
Director of the Stanford Center for Biomedical Informatics Research (BMIR)
Associate Professor of Pediatrics
Director of the Stanford Center for Policy, Outcomes and Prevention