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Nerissa Ambers

Observed name: Ambers, Nerissa
ORCID: 0009-0008-9878-1824
Observed ORCID: 0009-0008-9878-1824
OpenAlex ID: A5119875352
Holistic evaluation of large language models for medical tasks with MedHELM
2026 · Suhana Bedi, Hejie Cui, et al. · Nature Medicine · 189
Physician-Reported Safety Outcomes of AI-Generated Hospital Course Summaries
2026 · François Grolleau, April S. Liang, et al. · JAMA Network Open · 16
Why and How to Monitor Deployed AI Systems in Health Care
2026 · Timothy Keyes, Alison Callahan, et al. · NEJM Catalyst · 14
Adoption and Use of LLMs at an Academic Medical Center
2026 · Shah, Nigam H., Ambers, Nerissa, et al. · arXiv (Cornell University) · 13
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Monitoring Deployed AI Systems in Health Care
2025 · Keyes, Timothy, Callahan, Alison, et al. · PubMed Central · 6
An Electronic Health Record–Integrated, Large Language Model–Powered Tool to Triage Surgical Patients
2026 · Jane Wang, Timothy Keyes, et al. · JAMA Network Open · 3
Development, Evaluation, and Deployment of a Multi-Agent System for Thoracic Tumor Board
2026 · Ellis-Caleo, Tim, Keyes, Timothy, et al. · arXiv (Cornell University) · 2
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Using secure artificial intelligence agents integrated within the electronic medical record for the evaluation of blood culture appropriateness—Northern California, 2025
2025 · Guillermo Rodriguez-Nava, Timothy Keyes, et al. · Infection Control and Hospital Epidemiology · 2
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Use of a large language model integrated within the electronic medical record for the evaluation of surgical site infections – Northern California, 2025
2026 · Eugenia Miranti, Timothy Keyes, et al. · Infection Control and Hospital Epidemiology · 1
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Monitoring Deployed AI Systems in Health Care.
2026 · Timothy Keyes, Alison Callahan, et al. · PubMed
P-1967. Using Secure Artificial Intelligence Agents Integrated within the Electronic Medical Record for the Evaluation of Blood Culture Appropriateness — Northern California, 2025
2026 · Guillermo Rodriguez-Nava, Timothy Keyes, et al. · Open Forum Infectious Diseases
Works count: 11
Citation count: 246
H-index: 5
I10-index: 4
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