Travis Zack

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

Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department

2024 · 114 Zit. · JAMA Network Open

CORAL: Expert-Curated Oncology Reports to Advance Language Model Inference

2024 · 53 Zit. · NEJM AI

A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports

2024 · 35 Zit. · Journal of the American Medical Informatics Association

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

2023 · 30 Zit.

Assessing Large Language Models for Oncology Data Inference From Radiology Reports

2024 · 12 Zit. · JCO Clinical Cancer Informatics

The MI-CLAIM-GEN checklist for generative artificial intelligence in health

2025 · 12 Zit. · Nature Medicine

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification

2024 · 10 Zit.

Assessing clinical acuity in the Emergency Department using the GPT-3.5 Artificial Intelligence Model

2023 · 7 Zit.

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification

2024 · 3 Zit. · arXiv (Cornell University)

Constructing adverse event timelines for patients receiving CAR-T therapy using large language models.

2024 · 3 Zit. · Journal of Clinical Oncology

Abstract B074: Clinical inference of location and trajectory of pancreatic cancer from radiology reports using zero-shot LLM

2024 · 2 Zit. · Cancer Research

Medical Large Language Model Benchmarks Should Prioritize Construct Validity

2025 · 1 Zit. · ArXiv.org

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

2025 · 0 Zit. · ArXiv.org

Expertise Is What We Want

2025 · 0 Zit. · ArXiv.org