Emily Alsentzer
Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.
- Reposted by Emily AlsentzerNot too big. Not too small. #ML4H2025 is just right for deep conversations and building meaningful connections. Come get your healthy dose of ML research and vitamin D in sunny San Diego! Register today: ahli.cc/ml4h-register/ It might be your favorite conference of the year!
- Reposted by Emily AlsentzerNew pre-print from @emilyalsentzer.bsky.social et. al., CHIL 2025 convened experts to discuss critical themes in healthcare AI, including user-centric explainability, bias mitigation, domain adaptation, foundation models, and learning from small medical datasets. #MedSky #MLSky #MedAI
- Reposted by Emily AlsentzerPerspective by Irene Y. Chen, PhD, and Emily Alsentzer, PhD: Redefining Bias Audits for Generative AI in Health Care nejm.ai/4mhOFte @irenetrampoline.bsky.social @emilyalsentzer.bsky.social #AI #MedSky #MLSky
- Reposted by Emily Alsentzer🚨 Calling all health AI founders & builders! Join us at Health AI Builders: A CHIL Unconference — June 25th @ UC Berkeley. 💡 Real talk on AI, regulation, GTM, & fundraising 👥 Small-group convos, big impact 🎯 Apply to attend: lu.ma/2arsxv64 #CHIL2025 #HealthAI #ML4H
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- Reposted by Emily AlsentzerRequired reading If you ever use models to brainstorm. Really nice study design: Domain expert researchers search for plagiarized papers of LLM- systems that generate research plans. Many successfully find papers, verified by authors of those papers. But very hard to detect, see screenshot.
- Reposted by Emily AlsentzerClinical #AI has come a long way, but are we losing some of the core principles of NLP? Dr. @emilyalsentzer.bsky.social discusses how early rule-based approaches still offer valuable lessons for today’s AI-powered clinical decision support. Full episode: nejm.ai/4gOGeSo #MedSky #MLSky
- Reposted by Emily AlsentzerDr. @emilyalsentzer.bsky.social, a Stanford faculty member and expert in clinical #AI, discusses the evolution of natural language processing, the challenges of AI in clinical settings, and what the future holds for open-source medical AI. Full episode: nejm.ai/4gOGeSo #MedSky #MLSky
- Reposted by Emily AlsentzerTo move forward as a field, clinicians need to design benchmarks that better align with the tasks LLMs are expected to perform upon deployment. Read the editorial by Inioluwa Deborah Raji, BAS, @roxanadaneshjou.bsky.social, and @emilyalsentzer.bsky.social: nejm.ai/3PK8v1D #MedSky #AI #MLSky
- Reposted by Emily AlsentzerWell said, and very nice! It’s Time to Bench the Medical Exam Benchmark @roxanadaneshjou.bsky.social @emilyalsentzer.bsky.social ai.nejm.org/doi/full/10....
- Medical licensing exams are convenient, but don’t reflect real-world clinical tasks. With LLMs already in EHRs, we need evals to match real-world needs. Let’s partner w/ hospitals piloting these tools to create diverse task-specific evaluations. w/@rajiinio.bsky.social @roxanadaneshjou.bsky.social
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- Submit an abstract to join us in Puerto Rico! ✨focus on real-world deployment of AI into the clinic with practical, in-depth discussions ✨intimate setting for detailed conversations & networking to start new collaborations ✨beachfront hotel 🌴
