Work

All That Shines Is Not Gold: Maintaining Scientific Rigor When Evaluating, Interpreting, and Reviewing Studies Using Large Language Models

Year: 2025

Type: article

Source: Anesthesiology

DOI: 10.1097/aln.0000000000005795

Authors: Nicole E. Dundas, Tyler Law, Teva Brender, Hunter Mills, Edie Espejo, Timothy A. Heintz, Arthur W. Wallace, Julien Cobert

Institutions: Brigham and Women's Hospital, University of California, Berkeley, University of California, San Francisco, San Francisco VA Medical Center, University of California San Francisco Medical Center

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4417167244

FWCI: 1.043

Cites: 94

Cited by: 5

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