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Large language model performance and clinical reasoning tasks

04.13.26 | JAMA Network

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About The Study: The findings of this study suggest that despite progress, current large language models remain limited in early diagnostic reasoning and cannot yet be relied on for unsupervised patient-facing clinical decision-making.

Corresponding Authors: To contact the corresponding authors, email Arya S. Rao, BA, ( arya_rao@hms.harvard.edu ) and Marc D. Succi, MD, ( msucci@mgh.harvard.edu ).

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

(doi:10.1001/jamanetworkopen.2026.4003)

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.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2026.4003?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=041326

JAMA Network Open

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Jim Michalski
JAMA Network
Jim.Michalski@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2026, April 13). Large language model performance and clinical reasoning tasks. Brightsurf News. https://www.brightsurf.com/news/80EOG2E8/large-language-model-performance-and-clinical-reasoning-tasks.html
MLA:
"Large language model performance and clinical reasoning tasks." Brightsurf News, Apr. 13 2026, https://www.brightsurf.com/news/80EOG2E8/large-language-model-performance-and-clinical-reasoning-tasks.html.