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. 2025 Mar 18;15(1):9312.
doi: 10.1038/s41598-025-94335-0.

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

Mohammad Kermansaravi  1 Sonja Chiappetta  2 Shahab Shahabi Shahmiri  3 Julian Varas  4 Chetan Parmar  5 Yung Lee  6 Jerry T Dang  7 Asim Shabbir  8 Daniel Hashimoto  9 Amir Hossein Davarpanah Jazi  10 Ozanan R Meireles  11 Edo Aarts  12 Hazem Almomani  13 Aayad Alqahtani  14 Ali Aminian  15 Estuardo Behrens  16 Dieter Birk  17 Felipe J Cantu  18 Ricardo V Cohen  19 Maurizio De Luca  20 Nicola Di Lorenzo  21 Bruno Dillemans  22 Mohamad Hayssam ElFawal  23 Daniel Moritz Felsenreich  24 Michel Gagner  25 Hector Gabriel Galvan  26 Carlos Galvani  27 Khaled Gawdat  28 Omar M Ghanem  29 Ashraf Haddad  30 Jaques Himpens  31 Kazunori Kasama  32 Radwan Kassir  33 Mousa Khoursheed  34 Haris Khwaja  35 Lilian Kow  36 Panagiotis Lainas  37 Muffazal Lakdawala  38 Rafael Luengas Tello  39 Kamal Mahawar  40 Caetano Marchesini  41 Mario A Masrur  42 Claudia Meza  43 Mario Musella  44 Abdelrahman Nimeri  45 Patrick Noel  46 Mariano Palermo  47 Abdolreza Pazouki  10 Jaime Ponce  48 Gerhard Prager  24 César David Quiróz-Guadarrama  49 Karl P Rheinwalt  50 Jose G Rodriguez  51 Alan A Saber  52 Paulina Salminen  53 Scott A Shikora  45 Erik Stenberg  54 Christine K Stier  55 Michel Suter  56 Samuel Szomstein  57 Halit Eren Taskin  58 Ramon Vilallonga  59 Ala Wafa  60 Wah Yang  61 Ricardo Zorron  62 Antonio Torres  63 Matthew Kroh  7 Natan Zundel  64
Affiliations

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

Mohammad Kermansaravi et al. Sci Rep. .

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 surgery (MBS). AI has the potential to enhance various aspects of MBS, including education and training, decision-making, procedure planning, cost and time efficiency, optimization of surgical techniques, outcome and complication prediction, patient education, and access to care. However, concerns persist regarding the reliability of AI-generated decisions and associated ethical considerations. This study aims to establish a consensus on the role of AI in MBS using a modified Delphi method. A panel of 68 leading metabolic and bariatric surgeons from 35 countries participated in this consensus-building process, providing expert insights into the integration of AI in MBS. Of the 28 statements evaluated, a consensus of at least 70% was achieved for all, with 25 statements reaching consensus in the first round and the remaining three in the second round. Experts agreed that AI has the potential to enhance the evaluation of surgical skills in MBS by providing objective, detailed assessments, enabling personalized feedback, and accelerating the learning curve. Most experts also recognized AI's role in identifying qualified candidates for MBS referrals, helping patient and procedure selection, and addressing specific clinical questions. However, concerns were raised about the potential overreliance on AI-generated recommendations. The consensus emphasized the need for ethical guidelines governing AI use and the inclusion of AI's role in decision-making within the patient consent process. Furthermore, the results suggest that AI education should become an essential component of future surgical training. Advancements in AI-driven robotics and AI-integrated genomic applications were also identified as promising developments that could significantly shape the future of MBS.

Keywords: Artificial intelligence; Bariatric surgery; Machine learning; Metabolic surgery; Simulation training; Virtual reality.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

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