International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery

Abstract Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science and practice. The evolution of AI from rule-based systems to advanced machine learning and deep learning algorithms has opened new avenues for its application in metabolic and bariatric surger...

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Published in:	Scientific Reports
Main Authors:	Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri, Julian Varas, Chetan Parmar, Yung Lee, Jerry T. Dang, Asim Shabbir, Daniel Hashimoto, Amir Hossein Davarpanah Jazi, Ozanan R. Meireles, Edo Aarts, Hazem Almomani, Aayad Alqahtani, Ali Aminian, Estuardo Behrens, Dieter Birk, Felipe J. Cantu, Ricardo V. Cohen, Maurizio De Luca, Nicola Di Lorenzo, Bruno Dillemans, Mohamad Hayssam ElFawal, Daniel Moritz Felsenreich, Michel Gagner, Hector Gabriel Galvan, Carlos Galvani, Khaled Gawdat, Omar M. Ghanem, Ashraf Haddad, Jaques Himpens, Kazunori Kasama, Radwan Kassir, Mousa Khoursheed, Haris Khwaja, Lilian Kow, Panagiotis Lainas, Muffazal Lakdawala, Rafael Luengas Tello, Kamal Mahawar, Caetano Marchesini, Mario A. Masrur, Claudia Meza, Mario Musella, Abdelrahman Nimeri, Patrick Noel, Mariano Palermo, Abdolreza Pazouki, Jaime Ponce, Gerhard Prager, César David Quiróz-Guadarrama, Karl P. Rheinwalt, Jose G. Rodriguez, Alan A. Saber, Paulina Salminen, Scott A. Shikora, Erik Stenberg, Christine K. Stier, Michel Suter, Samuel Szomstein, Halit Eren Taskin, Ramon Vilallonga, Ala Wafa, Wah Yang, Ricardo Zorron, Antonio Torres, Matthew Kroh, Natan Zundel
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Subjects:	Artificial intelligence Simulation training Virtual reality Machine learning Bariatric surgery Metabolic surgery
Online Access:	https://doi.org/10.1038/s41598-025-94335-0