Testing and evaluation of health care applications of large language models

JAMA

2024-10-15

(Press-News.org) About The Study: Existing evaluations of large language models mostly focus on accuracy of question answering for medical examinations, without consideration of real patient care data. Dimensions such as fairness, bias, and toxicity and deployment considerations received limited attention. Future evaluations should adopt standardized applications and metrics, use clinical data, and broaden focus to include a wider range of tasks and specialties.

Corresponding Author: To contact the corresponding author, Nigam H. Shah, MBBS, PhD, email nigam@stanford.edu.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jama.2024.21700)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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Testing and evaluation of health care applications of large language models

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