ArticleObesity surgery2026
IFSO Survey: Use of Large Language Models (LLMs) by Metabolic Bariatric Surgeons and Integrated Health Professionals.
Article in Obesity surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
11 authors.
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Abstract
backgroundArtificial intelligence (AI), including large language models (LLMs), is increasingly transforming medicine and surgery by improving precision, efficiency, and communication. Despite significant potential, adoption is limited by technical, ethical, and regulatory challenges, requiring clinician oversight and foundational knowledge. This study assesses AI familiarity, use, and perceptions among obesity care professionals, including metabolic and bariatric surgeons and integrated health (IH) professionals.
methodsThe IFSO AI Task Force conducted a confidential online survey of metabolic bariatric surgeons and IH professionals to assess familiarity, use, benefits, concerns, barriers, and future trust regarding LLMs. The 46-item questionnaire was validated by experts, piloted, and disseminated via professional channels. Responses were analyzed descriptively, with open-ended items categorized for context, while incomplete responses were included without imputation.
resultsA total of 243 global metabolic bariatric surgeons and IH completed the survey. 76% had used LLMs, primarily ChatGPT, for research, presentations, patient education, and documentation, with daily or weekly use common. Respondents cited efficiency, time-saving, improved patient education, and decision support as benefits. Concerns included data privacy, bias, hallucinations, and workflow integration. Few had formal AI training. Overall, clinicians viewed LLMs as supportive assistants requiring oversight, transparency, and institutional guidance.
conclusionClinicians use LLMs cautiously in metabolic and bariatric practice, mainly for documentation, education, and information synthesis. They recognize risks, limitations, and the need for human oversight, transparency, and institutional governance. Current use reflects exploration rather than full endorsement, highlighting the importance of evaluation, training, and structured guidance as AI evolves in medicine.
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Registered trials
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.