iiinova — where your digital self keeps evolving

Reposted by Emily Alsentzer

Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 18/11/2025

Not 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!

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Reposted by Emily Alsentzer

Scott McGrath @smcgrath.phd · 22/10/2025

New 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

arxiv.org

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025

The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025, at the University…

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Reposted by Emily Alsentzer

NEJM AI @ai.nejm.org · 29/08/2025

Perspective 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

Page 1 of the Perspective "Redefining Bias Audits for Generative AI in Health Care"

Read full article at ai.nejm.org.

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Reposted by Emily Alsentzer

Association for Health Learning and Inference (AHLI) @ahli-cc.bsky.social · 23/05/2025

🚨 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 Alsentzer

Roxana Daneshjou, MD, PhD @roxanadaneshjou.bsky.social · 07/03/2025

It’s finally out! We brought a multidisciplinary team of physicians, computer scientists, and engineers to red team LLMs for healthcare uses. And we have shared the dataset! www.nature.com/articles/s41...

nature.com

Red teaming ChatGPT in medicine to yield real-world insights on model behavior - npj Digital Medicine

npj Digital Medicine - Red teaming ChatGPT in medicine to yield real-world insights on model behavior

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Reposted by Emily Alsentzer

Maria Antoniak @mariaa.bsky.social · 28/02/2025

Required 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.

Figure 2 from the paper showing a one-to-one mapping between methods generated by a model and methods from a real paper. The mapping is exact by the language used is very different.

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Reposted by Emily Alsentzer

NEJM AI @ai.nejm.org · 25/02/2025

Clinical #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

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Reposted by Emily Alsentzer

NEJM AI @ai.nejm.org · 19/02/2025

Dr. @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

AI Grand Rounds
Episode 27
From Clinical Notes to GPT-4: Dr. Emily Alsentzer on Natural Language Processing in Medicine

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Reposted by Emily Alsentzer

NEJM AI @ai.nejm.org · 07/02/2025

To 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

Editorial

To evaluate LLMs for clinical applications, we must move beyond fixed, narrowly scoped datasets and develop a suite of benchmarks that reflect the complexity and diversity of real-world clinical tasks.

“It’s Time to Bench the Medical Exam Benchmark” by Inioluwa Deborah Raji, B.A.S., Roxana Daneshjou, M.D., Ph.D., and Emily Alsentzer, Ph.D.

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Emily Alsentzer @emilyalsentzer.bsky.social · 24/01/2025

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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Reposted by Emily Alsentzer

Roxana Daneshjou, MD, PhD @roxanadaneshjou.bsky.social · 05/01/2025

Amazing - 30th anniversary of @pacsym.bio. Celebrating the amazing co-chairs and staff that have made this conference possible! #psb25

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Emily Alsentzer @emilyalsentzer.bsky.social · 27/11/2024

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 🌴

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Reposted by Emily Alsentzer

Stephanie Hyland @hylandsl.bsky.social · 20/11/2024

phd students in ML for health: my team based in cambridge UK is hiring interns for 2025! jobs.careers.microsoft.com/global/en/sh...

jobs.careers.microsoft.com

Search Jobs | Microsoft Careers

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Reposted by Emily Alsentzer

Berk Ustun @berkustun.bsky.social · 17/11/2024

Couldn't find a machine learning for health starter pack so I made one. DM/Reply if you want to be added! go.bsky.app/PJKJ8vK

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