Emily Alsentzer

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

2023 · 403 Zit. · The Lancet Digital Health

Mitigating the impact of biased artificial intelligence in emergency decision-making

2022 · 72 Zit. · Communications Medicine

To do no harm — and the most good — with AI in health care

2024 · 68 Zit. · Nature Medicine

Do We Still Need Clinical Language Models?

2023 · 50 Zit. · arXiv (Cornell University)

Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare

2023 · 30 Zit.

Leveraging large language models to foster equity in healthcare

2024 · 28 Zit. · Journal of the American Medical Informatics Association

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

2025 · 7 Zit. · ArXiv.org

Redefining Bias Audits for Generative AI in Health Care

2025 · 2 Zit. · NEJM AI

Synthetic data distillation enables the extraction of clinical information at scale

2025 · 2 Zit. · npj Digital Medicine

MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries

2025 · 1 Zit.

Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation

2025 · 0 Zit. · ArXiv.org

TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records

2025 · 0 Zit. · ArXiv.org

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025

2025 · 0 Zit. · ArXiv.org

Abstract 4366575: Performance Benchmarking of Smaller Language Models Against GPT-4 for Predicting Reasons for Oral Anticoagulation Nonprescription in Atrial Fibrillation

2025 · 0 Zit. · Circulation

The Moment AI Arrived in the Clinic: Insights from the SAIL 2025 Year in Review

2025 · 0 Zit. · NEJM AI