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D. Dash

4 papers hereh-index 101.7k citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.CY1
  • q-bio.OT1
same name
  • D. Dash — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

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…

q-bio.OT2026

Monitoring Deployed AI Systems in Health Care

Timothy Keyes, Alison Callahan, Abby S. Pandya +18

Post-deployment monitoring of artificial intelligence (AI) systems in health care is essential to ensure their safety, quality, and sustained benefit-and to support governance deci…

cs.CL2025

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

Suhana Bedi, Hejie Cui, Miguel Fuentes +78

While large language models (LLMs) achieve near-perfect scores on medical licensing exams, these evaluations inadequately reflect the complexity and diversity of real-world clinica…

cs.AI2025

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records

Philip Chung, Akshay Swaminathan, Alex J. Goodell +26

Methods to ensure factual accuracy of text generated by large language models (LLM) in clinical medicine are lacking. VeriFact is an artificial intelligence system that combines re…

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