ArticleObesity surgery2025
Evaluating the Feasibility of ChatGPT-4 as a Knowledge Resource in Bariatric Surgery: A Preliminary Assessment.
Article in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Evolution of Bariatric and Metabolic Surgery in the Artificial Intelligence Era: A Comprehensive Systematic Review of Current Applications and Clinical Implications.Obesity surgery · 2026Pooled it
- Accuracy and Knowledge Base Evaluation of ChatGPT-4o, Gemini-2.0-Flash, and DeepSeek-V3 in Metabolic and Bariatric Surgery: an Expert-Rated Blinded Study.Obesity surgery · 2026Article
- Article
- Article
- Comparative Analysis of Large Language Model and Physician-Generated Responses in Bariatric Patient Inquiries: Assessing the Accuracy and Patient Satisfaction.Obesity surgery · 2025Article
- International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study evaluates the feasibility of ChatGPT-4 as a knowledge resource in bariatric surgery. Using a problem set of 30 questions covering key aspects of bariatric care, responses were reviewed by three bariatric surgery experts. ChatGPT-4 achieved strong performance, with 50% of responses scoring the highest possible rating for alignment with clinical guidelines. However, limitations were noted, including outdated criteria, lack of specificity, and occasional poor response structuring. The study highlights the potential of ChatGPT-4 as a supplementary tool for patient education and healthcare provider support, as well as its broader public health applications, such as obesity prevention and healthy lifestyle education. Despite its promise, challenges such as handling complex clinical cases, reliance on up-to-date evidence, and ethical concerns like privacy and misinformation must be addressed. Future research should refine the model's applications and explore its integration into clinical practice and public health strategies.
Indexed as
Identifiers
39821906What OpenQuestion holds
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 OpenQuestion graph.