Evidence map›Paper›PMID 37889368›Full record

ArticleObesity surgery2023

Bariatric Evaluation Through AI: a Survey of Expert Opinions Versus ChatGPT-4 (BETA-SEOV).

Amir Hossein Davarpanah Jazi, Mohammad Mahjoubi, Shahab Shahabi, Aayed R Alqahtani, Ashraf Haddad, Abdolreza Pazouki, Arun Prasad, Bassem Y Safadi, Sonja Chiappetta, Halit Eren Taskin and 21 more

Abstract read
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In one paragraph

Article in Obesity surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Large language models in obesity: a systematic review.International journal of obesity (2005) · 2026
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  10. Artificial intelligence in gastrointestinal surgery: A systematic review.World journal of gastrointestinal surgery · 2025
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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

31 authors.

Amir Hossein Davarpanah JaziDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, School of Medicine, Rasool-E Akram Hospital, Iran University of Medical Sciences, Niyaesh Avenue, Sattar Khan Street, Tehran, Iran.
Mohammad MahjoubiClinical Research Development Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Shahab ShahabiDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, School of Medicine, Rasool-E Akram Hospital, Iran University of Medical Sciences, Niyaesh Avenue, Sattar Khan Street, Tehran, Iran. shshahabi@yahoo.com.ORCID 0000-0002-8415-2567
Aayed R AlqahtaniNew Medical Center, Riyadh, Saudi Arabia.
Ashraf HaddadGastrointestinal Metabolic and Bariatric Center, GBMC M, Jordan Hospital, Amman, Jordan.
Abdolreza PazoukiDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, School of Medicine, Rasool-E Akram Hospital, Iran University of Medical Sciences, Niyaesh Avenue, Sattar Khan Street, Tehran, Iran.
Arun PrasadGI, Bariatric and Robotic Surgery Apollo Hospital, New Delhi, India.
Bassem Y SafadiSurgical Services Aman Hospital, Doha, Qatar.
Sonja ChiappettaBariatric and Metabolic Surgery Unit, Ospedale Evangelico Betania, Naples, Italy.
Halit Eren TaskinDepartment of General Surgery, Cerrahpaşa Medical Faculty, Istanbul University Cerrahpaşa, Istanbul, Turkey.
Helmuth Thorlakur BillyVentura Advanced Surgical Associates, Ventura, CA, USA.
Kazunori KasamaWeight Loss and Metabolic Surgery Center, Yotsuya Medical Cube, Tokyo, Japan.
Kamal MahawarSunderland Royal Hospital, Sunderland, UK.
Khaled GawdatAin Shams University Faculty of Medicine Department of General Surgery, Cairo, Egypt.
Karl Peter RheinwaltDepartment of Bariatric, Metabolic and Plastic Surgery, St. Franziskus Hospital, Cologne, Germany.
Karl A MillerDubai London Hospital, Dubai, UAE.
Lilian KowDepartment GI Surgery Flinders, University South Australia, Adelaide, Australia.
Manoel Galvao NetoMohak Bariatric and Robotic Center, Indore, India.
Wah YangThe First Affiliated Hospital of Jinan University, Guangzhou, China.
Mariano PalermoGastrointestinal and Bariatric Surgery, University of Buenos Aires, Buenos Aires, Argentina.
Omar M GhanemMayo Clinic, Rochester, MN, USA.
Panagiotis LainasDepartment of Digestive and Bariatric Surgery, Metropolitan Hospital, HEAL Academy, Athens, Greece.
Ralph PeterliDeputy Head of Visceral Surgery and Head of Bariatric-Metabolic Surgery Clarunis, Department of Visceral Surgery, University Centre for Gastrointestinal and Liver Diseases St. Clara Hospital and University Hospital Basel, 4002, Basel, Switzerland.
Radwan KassirDigestive Surgery Unit, University Hospital of La Réunion -Félix Guyon Hospital, Saint-Denis, La Réunion, France.
Ramon Vilallonga PuyHead Endocrine-Metabolic and Bariatric Surgery Unit, Vall Hebron Barcelona Hospital Campus, Pg. De La Vall d'hebron, 119-129, 08035, Barcelona, Spain.
Rui José Da Silva RibeiroGeneral Surgery Department, Multidisciplinary Center for Obesity Treatment - Hospital Lusíadas Amadora, Amadora, Portugal.
Sergio VerboonenObesity Goodbye Center, Tijuana, Mexico.
Tadeja PintarUMC Ljubljana, Department of Abdominal Surgery and Medical Faculty, Ljubljana, Slovenia.
Asim ShabbirNational University of Singapore, Singapore, Singapore.
Mario MusellaAdvanced Biomedical Sciences Department, "Federico II" University, Naples, Italy.
Mohammad KermansaraviDepartment of Surgery, Minimally Invasive Surgery Research Center, Division of Minimally Invasive and Bariatric Surgery, School of Medicine, Rasool-E Akram Hospital, Iran University of Medical Sciences, Niyaesh Avenue, Sattar Khan Street, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements in artificial intelligence, such as OpenAI's ChatGPT-4, are revolutionizing various sectors, including healthcare. This study investigates the use of ChatGPT-4 in identifying suitable candidates for bariatric surgery and providing surgical recommendations to improve decision-making in obesity treatment amid the global obesity epidemic.

methodsWe devised ten patient scenarios, thoughtfully encompassing a spectrum that spans from uncomplicated cases to more complex ones. Our objective was to delve into the decision-making process regarding the recommendation of bariatric surgery. From July 29th to August 10th, 2023, we conducted a voluntary online survey involving thirty prominent bariatric surgeons, ensuring that there was no predetermined bias in the selection of a specific type of bariatric surgery. This survey was designed to collect their insights on these scenarios and gain a deeper understanding of their professional experience and background in the field of bariatric surgery. Additionally, we consulted ChatGPT-4 in two separate conversations to evaluate its alignment with expert opinions on bariatric surgery options.

resultsIn 40% of the scenarios, disparities were identified between the two conversations with ChatGPT-4. It matched expert opinions in 30% of cases. Differences were noted in cases like gastrointestinal metaplasia and gastric adenocarcinoma, but there was alignment with conditions like endometriosis and GERD.

conclusionThe evaluation of ChatGPT-4's role in determining bariatric surgery suitability uncovered both potential and shortcomings. Its alignment with experts was inconsistent, and it often overlooked key factors, emphasizing human expertise's value. Its current use requires caution, and further refinement is needed for clinical application.

Indexed as

BariatricsObesity, MorbidArtificial IntelligenceFemaleHumansObesityArtificial IntelligenceBariatric EvaluationBariatric SurgeryChatGPTHealth LiteracyLanguage Learning Models

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.