AI-Generated Clinical Summaries Require More Than Accuracy-Reference-Cited by-同舟云学术

AI-Generated Clinical Summaries Require More Than Accuracy

Published:2024-02-27 Issue:8 Volume:331 Page:637
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Goodman Katherine E.¹²,Yi Paul H.³,Morgan Daniel J.¹⁴

Affiliation:

1. Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore

2. The University of Maryland Institute for Health Computing, North Bethesda

3. Department of Diagnostic Radiology and Nuclear Medicine, The University of Maryland School of Medicine, Baltimore

4. VA Maryland Healthcare System, Baltimore

Abstract

This Viewpoint discusses AI-generated clinical summaries and the necessity of transparent development of standards for their safe rollout.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2814609/jama_goodman_2024_vp_240007_1708641845.08208.pdf

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4. Clinical decision support software: guidance for industry and Food and Drug Administration staff. September 28, 2022. Accessed January 6, 2024. https://www.fda.gov/media/109618/download

5. Van Veen? D, Van Uden? C, Blankemeier? L, . Clinical text summarization: adapting large language models can outperform human experts. Preprint posted online September 14, 2023. Accessed January 5, 2024. arXiv. doi:10.21203/rs.3.rs-3483777/v1?

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