Executive Director, Stanford ARISE (AI Research and Science Evaluation) | Associate Editor, BMJ Digital Health & AI
Will be doing a keynote in NYC at HIMSS AI (July 11th). Covering highlights of our latest research findings in Nature Medicine and JAMA Network (is AI really outperforming doctors?), and the many great discussions kicked off after Stanford's healthcare week: - How do we improve doctors + AI performance? - Will there be job loss for healthcare providers? - Generalist vs specialist, open vs closed healthcare AI models - Where are models weak? Where are they strong? - How do experts perform evaluations? H/T Sophie McCluskey for pulling an amazing list of speakers and healthcare AI experts (Justin T. Collier, MD, Jonah Feldman MD, FACP, Okan Ekinci, MD MBA, Alex LeBrun, Mark Sendak and more) together for this event. Look forward to catching up with many NYC friends and research collaborators! Do drop me a note.
Ethan, looking forward to some great conversations in New York with you and fellow experts! Mark Sendak and I are excited to share the results of our collaboration between Roche and Duke Institute for Health Innovation (DIHI) on evaluating AI models in healthcare.
What I’m most interested in is how we define and evaluate "superhuman" performance, especially when reasoning is context-dependent. Looking forward to your keynote.
Looking forward to seeing you there!
This looks super interesting, Ethan Goh, MD. Is there a remote viewing option available?
Amazing, Ethan!
So interesting Ethan, any way it can be followed via web?
Amazing!
Ethan Goh, MD, exciting to see AI in healthcare continuing to evolve. The discussions should be both enlightening and impactful.
Exciting 🔥
Executive Director, Stanford ARISE (AI Research and Science Evaluation) | Associate Editor, BMJ Digital Health & AI
4moJuly 10 - 11, 2025 | New York Join your fellow healthcare leaders in the pursuit of digital health transformation in New York to understand the vast range of opportunity for AI applications. Explore where GenAI and Machine Learning tools are needed, and where a basic analytics tool may still be superior. Discover a realistic approach for AI implementation whether that be buying, building, or a blend of the two, for kicking off your AI journey.