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Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency relative to human experts. This study evaluates the proficiency of ChatGPT, an OpenAI language model, in offering guidance concerning bariatric surgery compared to bariatric surgeons. Five clinical scenarios representative of diverse bariatric surgery situations were given to American Society for Metabolic and Bariatric Surgery (ASMBS)-accredited bariatric surgeons and ChatGPT. Both groups proposed medical or surgical management for the patients depicted in each scenario. The outcomes from both the surgeons and ChatGPT were examined and matched with the clinical benchmarks set by the ASMBS. There was a high degree of agreement between ChatGPT and physicians on the three simpler clinical scenarios. There was a positive correlation between physicians' and ChatGPT answers for not recommending surgery. ChatGPT's advice aligned with ASMBS guidelines 60% of the time, in contrast to bariatric surgeons, who consistently aligned with the guidelines 100% of the time. ChatGPT showcases potential in offering guidance on bariatric surgery, but it does not have the comprehensive and personalized perspective that doctors exhibit consistently. Enhancing AI's training on intricate patient situations will bolster its role in the medical field. [ABSTRACT FROM AUTHOR]

Background/Aims Chronic intestinal pseudo-obstruction (CIPO) is a rare cause of intestinal dysmotility. First-line treatment in adult patients is medical and nutritional therapy. For patients who fail these treatment options, surgical interventions may be an option. In this scoping review, we aim to investigate the current research on surgical interventions for CIPO in adults. Methods PubMed, Embase, and Scopus were queried for articles related to surgical interventions for adults with CIPO. Search terms included: intestinal dysmotility, intestinal pseudo-obstruction, global intestinal dysmotility, chronic intestinal pseudo-obstruction, gastrointestinal paresis, neurogastrointestinal motility disorder, and chronic small intestinal motility disorder. Results Initial search identified 4763 records; 4722 were deemed irrelevant after screening and were excluded. The remaining 41 reports were retrieved and assessed for eligibility. Twenty-one additional studies were excluded after in-depth assessment. The remaining 20 reports were: 9 cohort studies, 7 case reports, and 4 reviews. Of these, 10 studies had study populations of < 10 patients, while 6 had = 10 patients. The remaining 4 were reviews. Results of these papers described the safety and effectiveness of various surgical interventions for adults with CIPO, including percutaneous endoscopic procedures, surgical decompression, small bowel resection, and intestinal transplantation. Conclusions Data pertaining to surgical therapy for CIPO is limited. Although this review suggests that surgical interventions for CIPO may be safe and effective for select patients, strong conclusions cannot be made due to limited number of relevant studies and small sample sizes. Concerted efforts to produce data from large studies on adults with CIPO are necessary. [ABSTRACT FROM AUTHOR]

Introduction: Reliance on summary data such as averages may not fully represent the breadth of individual patient responses that occur within a randomized controlled trial. As a result, a large portion of reported patient outcomes may be reasonably expected regardless of the trial arm to which a study subject is assigned. This study aims to investigate the extent of results overlap that exists between interventions in bariatric randomized controlled trials, despite significant P values by analyzing differences in trial means and standard deviations (SDs)., Methods: A comprehensive literature review was conducted on bariatric RCTs from 2010 to 2023, sourced from PubMed, MEDLINE, Cochrane Library, and EMBASE. Bariatric surgery trials examining percent weight loss were selected due to the continuous nature of the data. The inclusion criteria for the data were outcomes reported as mean ± SD, and normally distributed. The data distributions for each study were visualized using histograms to assess overlaps in mean weight loss across different interventions. Using provided sample means and SDs from each selected randomized controlled trial, percentage of overlap between patient group distributions of each study was determined., Results: Out of 27 initially identified RCTs, six were included. These showed significant overlap between means, based on P values, for different bariatric interventions. The mean percent overlap of patients across all interventions of the 6 studies was 84.58%, with a minimum of 68.42% and maximum of 98%. This indicates that across all studies, only an average of 15.42% of patients fell outside the overlapping distribution and could be considered to have a weight loss solely as a response to the specific treatment., Conclusions: While means are essential for statistical analyses, it is crucial to examine deeper nuances in data to understand prior to assigning causation for an individual patient response. Such insights are pivotal in the era of evidence-based and precision medicine, ensuring that treatment decisions are tailored not just based on group averages but also considering the potential range of individual outcomes., (Copyright © 2025 Elsevier Inc. All rights reserved.)