How to interpret ‘zero-shot’ results from generative EHR models
Suhana Bedi, Jason Fries, Nigam H. Shah
2 citationsNature Medicine
Jason Fries
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95Publications signalées
5477Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Machine Learning in HealthcareTopic ModelingArtificial Intelligence in Healthcare and EducationElectronic Health Records SystemsNatural Language Processing Techniques
Publications récentes
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
Emily Alsentzer, Marie‐Laure Charpignon, Bill B. Chen, Jason Fries et autres
0 citationsarXiv (Cornell University)
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records
Alyssa Unell, Bowen Chen, Jason Fries, Emily Alsentzer et autres
13 citationsnpj Digital Medicine
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell et autres
10 citationsarXiv (Cornell University)
Red teaming ChatGPT in medicine to yield real-world insights on model behavior
Crystal Chang, Hodan Farah, Haiwen Gui, Shawheen J. Rezaei et autres
37 citationsnpj Digital Medicine
TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records
Alyssa Unell, Bowen Chen, Jason Fries, Emily Alsentzer et autres
0 citationsarXiv (Cornell University)
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
Amin Adibi, Cao Xu, Zongliang Ji, Elizabeth Healey et autres
2 citationsarXiv (Cornell University)
Hospitalization prediction from the emergency department using computer vision AI with short patient video clips
Wui Ip, Maria Xenochristou, Elaine Sui, Elyse Ruan et autres
8 citationsnpj Digital Medicine
FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs
Monica Munnangi, Akshay Swaminathan, Jason Fries, Jenelle Jindal et autres
1 citationarXiv (Cornell University)
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
Michael Wornow, Suhana Bedi, Miguel Hernandez, Ethan Steinberg et autres
2 citationsarXiv (Cornell University)
Time-to-Event Pretraining for 3D Medical Imaging
Zepeng Huo, Jason Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu et autres
0 citationsarXiv (Cornell University)
Testing and Evaluation of Health Care Applications of Large Language Models
Suhana Bedi, Yutong Liu, Lucy Orr-Ewing, Dev Dash et autres
583 citationsJAMA
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