AI for Good Health: Transforming Data Into Decisions and Outcomes

gsbevents@fordham.edu

Part of the 4th Digital Health Symposium at the United Nations General Assembly (UNGA), a full-day of AI for Good Health Workshops

Gabelli School of Business

<h3>The full-day of AI for Good Health Workshops aims to explore the integration of AI technologies in various aspects of healthcare, from hospital efficiency to patient care, diagnostics, drug discovery, and entrepreneurship. Speakers are experienced practitioners and academics who will discuss issues in healthcare such as choice of AI, evaluation of AI systems, organizational support systems for AI, impact of regulation, impact on human resources, among others.</h3><h3>The symposium will start with keynotes to scene set and outline strategy followed by discussion with panelists and Q&amp;A from the audience.</h3>

Confirmed Speakers Include: Navid Asgari, Ph.D., Associate Director, Global Healthcare Innovation Management Center; Associate Professor, Grose Family Endowed Chair in Business, Fordham University, Gabelli School of BusinessJan Beger, Head of AI Advocacy, GE HealthcareDoni Bloomfield, J.D., Associate Professor of Law, Fordham University, School of LawMartin Curley, Ph.D., Professor of Innovation, Maynooth University and Digital Health LeaderSanjay Doddamani, M.D., Founder and CEO, GuidehealthAnand Iyer, Ph.D., Chief AI Officer, WellDocRyl Jensen, CEO, Digital Health Association (DHA)Richard A D Jones, President, C2-AiSean Khozin, M.D., CEO, CEO Roundtable on Cancer, Founder of PhyusionVidur Mahajan, M.D., CEO, CARPL.aiRichard Mulry, President and CEO Northwell Holdings &amp; VenturesFalguni Sen, Ph.D., Director, Global Healthcare Innovation Management Center; Professor Strategy and Statistics, Fordham University, Gabelli School of BusinessJohn Sheehan, M.D., Clinical Director of Radiology, Blackrock HealthStanley Shaw, M.D, Ph.D., Associate Vice President, Digital Medicine Amgen

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AI for Good Health: Transforming Data Into Decisions and Outcomes

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AI for Good Health: Transforming Data Into Decisions and Outcomes

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