AI for Medical Diagnosis and Prognosis: Reflections and Vision for 2025
Date & Time: January 10, 2025, 12:00 PM–12:00 PM, Eastern Time (US and Canada)
Register for the webinar: https://bit.ly/AIDx25.
Join us this Friday (Jan. 10) for a fireside chat, "AI for Medical Diagnosis and Prognosis: Reflections and Vision for 2025," hosted by the Hopkins Business of Health Initiative (HBHI) as part of our Conversations on the Business of Health Webinar Series.
We'll be joined by Dr. Ziad Obermeyer, the Blue Cross of California Distinguished Associate Professor at University of California, Berkeley and one of TIME Magazine's 100 most influential people in AI, whose seminal work has shaped how we think about the role of AI in medicine. The conversation will be moderated by Dr. Daniel Polsky, Bloomberg Distinguished Professor of Health Economics and Director of HBHI.
As co-hosts of this event, Dr. Risa Wolf and I look forward to welcoming you to this important conversation. Together, we'll explore key topics such as how AI can improve diagnosis and prognosis, the challenges of bias and adoption, and what the future holds for healthcare powered by AI.
The webinar will take place on Friday, January 10, 2025, from 12 to 1 PM Eastern Time. You can register for the webinar here: https://bit.ly/AIDx25.
This is an exciting way to begin 2025, and we hope you'll join us!
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Tinglong Dai
Bernard T. Ferrari Professor of Business
Johns Hopkins University
Baltimore MD
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