AI-assisted assessment of the IFSO consensus on obesity management medications in the context of metabolic bariatric surgery
Mohammad Kermansaravi, Paulina Salminen, Gerhard Prager, Ricardo V. Cohen · 2025
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Description
Mohammad Kermansaravi, Paulina Salminen, Gerhard Prager, and Ricardo Cohen use AI to stress-test a medical consensus, in a 2025 study. The consensus, from the international bariatric surgery federation, guides how new obesity medicines fit alongside metabolic surgery. Such drugs, including GLP-1 based ones, are powerful but had no clear place next to surgery when the guidance was written. The team put thirty-one consensus statements to eleven advanced language models.
Each model had to answer agree or disagree, with a short evidence-based reason. Comparing model answers with expert positions checks whether the guidance is robust or rests on shaky spots. The study treats the models not as oracles but as tireless critics, a new way to audit clinical consensus before it hardens into practice.
Catalog record
| CREATOR | Mohammad Kermansaravi, Paulina Salminen, Gerhard Prager, Ricardo V. Cohen |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |