activity
20242026
collaborators

14 papers

cs.AI2026

Towards Expert-level Medical AI for Real-time Video Consultations

Mahvish Nagda, Jihyeon Lee, Matthew Thompson +37

Audio-visual interaction is the standard for patient-physician consultations, enabling natural communication and effective assessment of illness through non-verbal cues. While text…

cs.CL2026

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…

cs.CL2026

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…

cs.CY2026

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…

cs.AI2026

HealthAdminBench: Evaluating Computer-Use Agents on Healthcare Administration Tasks

Suhana Bedi, Ryan Welch, Ethan Steinberg +12

Healthcare administration accounts for over $1 trillion in annual spending, making it a promising target for LLM-based computer-use agents (CUAs). While clinical applications of LL…

cs.CL2026

Structured Prompts Improve Evaluation of Language Models

Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia +15

As language models (LMs) are increasingly adopted across domains, high-quality benchmarking frameworks are essential for guiding deployment decisions. In practice, however, framewo…