From the 1 of 8 linked papers with an AI index.
6 citations · 8 across the 7 of their papers we have counts for
8 papers
First, do NOHARM: a medical safety benchmark and randomized study of physician and AI teaming on clinical consultations
David Wu, Fateme Nateghi Haredasht, Saloni Kumar Maharaj +54
The paper introduces NOHARM, a benchmark of 1,100 primary‑care to specialist consultation cases, to evaluate how often large language models and retrieval‑augmented clinical AI too…
A global log for medical AI
Ayush Noori, Aaron E. Boussina, Hai Ho Bich +48
Modern computer systems rely on syslog, a universal protocol that records critical events across heterogeneous infrastructure. Medicine's rapidly growing AI stack has no equivalent…
Deployment-Centered Evaluation: Predicting Query-Level Rejection Risk in a Clinical LLM System
Alyssa Unell, Miguel Fuentes, Brenna Li +4
Large language models (LLMs) are increasingly integrated into clinical systems, making it essential to evaluate the real-world utility of these systems. However, static benchmarks…
CARE: A Conformal Safety Layer for Medical Summarization
Suhana Bedi, Bridget Lin, Anson Y. Zhou +5
Large language models (LLMs) are increasingly used for medical summarization, but their outputs can omit medically important information and introduce unsupported claims. Existing…
Quantifying and Mitigating Premature Closure in Frontier LLMs
Rebecca Handler, Suhana Bedi, Nigam Shah
Premature closure, or committing to a conclusion before sufficient information is available, is a recognized contributor to diagnostic error but remains underexamined in large lang…
Adoption and Use of LLMs at an Academic Medical Center
Nigam H. Shah, Nerissa Ambers, Abby Pandya +55
While large language models (LLMs) can support clinical documentation needs, standalone tools struggle with "workflow friction" from manual data entry. We developed ChatEHR, a syst…