Evidence map›Paper›PMID 40102585›Full record

ArticleScientific reports2025

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

Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri, Julian Varas, Chetan Parmar, Yung Lee, Jerry T Dang, Asim Shabbir, Daniel Hashimoto, Amir Hossein Davarpanah Jazi and 58 more

Abstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

68 authors.

Mohammad KermansaraviDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran. mkermansaravi@yahoo.com.
Sonja ChiappettaOspedale Evangelico Betania, Naples, Italy.
Shahab Shahabi ShahmiriDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran. shshahabi@gmail.com.
Julian VarasCenter for Simulation and Experimental Surgery, Faculty of Medicine, Pontificia Universidad Católica de Chile, Uc-Christus Health Network, Santiago, Chile.
Chetan ParmarWhittington Hospital, London, UK.
Yung LeeDivision of General Surgery, McMaster University, Hamilton, ON, Canada.
Jerry T DangDigestive Disease Institute, Cleveland Clinic, Cleveland, OH, USA.
Asim ShabbirNational University of Singapore, Singapore, Singapore.
Daniel HashimotoPenn Computer Assisted Surgery and Outcomes Laboratory, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Amir Hossein Davarpanah JaziDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran.
Ozanan R MeirelesSurgical Artificial Intelligence and Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC339, Boston, MA, 02114, USA.
Edo AartsWeight Works Clinics and Allurion Clinics, Amersfoort, The Netherlands.
Hazem AlmomaniNMC Royal Hospital, Abu Dhabi, UAE.
Aayad AlqahtaniNew You Medical Center, King Saud University, Obesity Chair, Riyadh, Saudi Arabia.
Ali AminianBariatric and Metabolic Institute, Cleveland Clinic, Cleveland, OH, USA.
Estuardo BehrensNew Life Center, Guatemala, Guatemala.
Dieter BirkDepartment of General Surgery, Klinikum Bietigheim-Ludwigsburg, Bietigheim-Bissingen, Germany.
Felipe J CantuUniversidad México Americana del Norte UMAN, Reynosa, Tamps., Mexico.
Ricardo V CohenCenter for the Treatment of Obesity and Diabetes, Hospital Alemão Oswaldo Cruz, Sao Paolo, Brazil.
Maurizio De LucaDepartment of General Surgery, Rovigo Hospital, Rovigo, Italy.
Nicola Di LorenzoDepartment of Surgery, Sapienza University, Roma, Italy.
Bruno DillemansDepartment of General Surgery, Sint Jan Brugge-Oostende, Brugge, AZ, Belgium.
Mohamad Hayssam ElFawalMakassed General Hospital, Beirut, Lebanon.
Daniel Moritz FelsenreichDepartment of Surgery, Vienna Medical University, Vienna, Austria.
Michel GagnerDepartment of Surgery, Westmount Square Surgical Center, Westmount, QC, Canada.
Hector Gabriel GalvanInnovare Bariatria, Universidad Autónoma de Nayarit, Tepic, Mexico.
Carlos GalvaniDepartment of Surgery, Louisiana State University Health Sciences Center, New Orleans, USA.
Khaled GawdatBariatric Surgery Unit, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Omar M GhanemDivision of Metabolic & Abdominal Wall Reconstructive Surgery, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
Ashraf HaddadMinimally Invasive and Bariatric Surgery, Gastrointestinal Bariatric and Metabolic Center (GBMC)-Jordan Hospital, Amman, Jordan.
Jaques HimpensBariatric Surgery Unit, Delta Chirec Hospital, Brussels, Belgium.
Kazunori KasamaWeight Loss and Metabolic Surgery Center, Yotsuya Medical Cube, Tokyo, Japan.
Radwan KassirDigestive and Bariatric Surgery Department, The View Hospital, Doha, Qatar.
Mousa KhoursheedTaiba Hospital, Kuwait City, Kuwait.
Haris KhwajaDepartment of Bariatric and Metabolic Surgery, Chelsea and Westminster Hospital, London, UK.
Lilian KowAdelaide Bariatric Centre, Flinders University of South Australia, Adelaide, Australia.
Panagiotis LainasDepartment of Metabolic & Bariatric Surgery, Metropolitan Hospital, Athens, Greece.
Muffazal LakdawalaDepartment of General Surgery and Minimal Access Surgical Sciences, Sir H.N. Reliance Foundation Hospital, Mumbai, India.
Rafael Luengas TelloDepartamento de Cirugía, Hospital Clínico Universidad de Chile, Santos Dumont 999, Santiago, Chile.
Kamal MahawarSouth Tyneside and Sunderland Foundation NHS Trust, Sunderland, UK.
Caetano MarchesiniSão Marcelino Champagnat Hospital, Curitiba, Curitiba, PR, Brazil.
Mario A MasrurUniversity of Illinois at Chicago, Chicago, IL, USA.
Claudia MezaClínica RedSalud CL, RedSalud, Chile.
Mario MusellaAdvanced Biomedical Sciences Department, Federico II" University, Naples, Italy.
Abdelrahman NimeriDepartment of Surgery, Center for Metabolic and Bariatric Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Patrick NoelHospital Privé Bouchard, ELSAN, Marseille, 13006, France.
Mariano PalermoDepartment of Surgery, Centro CIEN-Diagnomed, University of Buenos Aires, Buenos Aires, Argentina.
Abdolreza PazoukiDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, Hazrat-E Fatemeh Hospital, Iran University of Medical Sciences, Tehran, Iran.
Jaime PonceBariatric Surgery Program, CHI Memorial Hospital, Chattanooga, TN, USA.
Gerhard PragerDepartment of Surgery, Vienna Medical University, Vienna, Austria.
César David Quiróz-GuadarramaNew City Hospital, Tijuana, México.
Karl P RheinwaltDepartment of Bariatric, Metabolic and Plastic Surgery, Cellitinnen Hospital St. Franziskus, Cologne, Germany.
Jose G RodriguezÁngeles Ciudad Juárez Hospital, Tijuana, Mexico.
Alan A SaberMetabolic and Bariatric Institute, Newark Beth Israel Medical Center, New Jersy, USA.
Paulina SalminenTurku University Hospital, University of Turku, Turku, Finland.
Scott A ShikoraDepartment of Surgery, Center for Metabolic and Bariatric Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Erik StenbergDepartment of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Christine K StierDepartment of Surgery, Medical Faculty Mannheim, Universitätsmedizin Mannheim, University of Heidelberg, Mannheim, Germany.
Michel SuterDepartment of Surgery, Hôpital Riviera-Chablais, Rennaz, Switzerland.
Samuel SzomsteinBariatric and Metabolic Institute, Department of Minimally Invasive Surgery, Cleveland Clinic Florida, Weston, FL, USA.
Halit Eren TaskinDepartment of Surgery, Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey.
Ramon VilallongaEndocrine, Bariatric, and Metabolic Surgery Department, University Hospital Vall Hebron, Barcelona, Spain.
Ala WafaAljazeera International Hospital, Misurata University School of Medicine, Misurata, Libya.
Wah YangDepartment of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Ricardo ZorronCenter for Bariatric and Metabolic Surgery, Hospital CUF Descobertas, Lisbon, Portugal.
Antonio TorresGeneral and Digestive Surgery Service, Department of Surgery, Hospital Clínico San Carlos, Complutense University Medical School, Universidad Complutense de Madrid (UCM), Madrid, Spain.
Matthew KrohDigestive Disease Institute, Cleveland Clinic, Cleveland, OH, USA.
Natan ZundelDepartment of Surgery, University at Buffalo, Buffalo, NY, 14203, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceBariatric SurgeryDelphi TechniqueHumansArtificial intelligenceBariatric surgeryMachine learningMetabolic surgerySimulation trainingVirtual reality

Identifiers

PMID40102585
PMCPMC11920084

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.