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A temporally Anchored Retrieval-Augmented Generation Framework for Metabolic and Bariatric Surgery Patient Education: An IFSO Artificial Intelligence Task Force Multinational Validation Study

Crossref DOI link: https://doi.org/10.1007/s11695-026-08746-7

Published Online: 2026-05-20

Published Print: 2026-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Atri, Yash Kumar

Hartvigsen, Tom

Lee, Yung

Okrainec, Allan

Kermansaravi, Mohammad

Shahabi, Shahab

Leite, Silvia

O’Kane, Mary

Cohen, Ricardo

Shin, Thomas H.
License Information

Text and Data Mining valid from 2026-05-20

Version of Record valid from 2026-05-20
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Article History

Received: 8 March 2026

Revised: 27 April 2026

Accepted: 11 May 2026

First Online: 20 May 2026

Declarations

:

: This study was considered exempt from ethics approval as it did not involve patient data or protected health information and did not meet the definition of human subjects research per 45 CFR 46.

: The authors declare no competing interests.

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