SynthesisObesity surgery2022
Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives.
Synthesis in Obesity surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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.
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
23 citing papers in PubMed, 3 syntheses or guidelines 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
- Artificial Intelligence Applications in Endoscopic Sleeve Gastroplasty: A Systematic Review of Preliminary Evidence.Obesity surgery · 2026Pooled it
- Artificial intelligence and machine learning in bariatric surgery: a comprehensive systematic review.Langenbeck's archives of surgery · 2026Pooled it
- The VALUE of AI-Guided Communication: Enhancing Shared Decision-Making in Metabolic Bariatric Surgery Consultations Through a Metacognitive Framework.Obesity surgery · 2026Trial
- Large Language Models and Metabolic Bariatric Surgery: A Pilot Concordance Study Between ChatGPT and Multidisciplinary Team Recommendations.Obesity surgery · 2026Article
- Machine and Deep Learning Models for Preoperative Prediction of Suboptimal Clinical Response One Year after Metabolic Bariatric Surgery: Findings from the Tehran Obesity Treatment Study.Obesity surgery · 2026Article
- Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.Frontiers in endocrinology · 2026Review
- HOW I DO IT: Breaking boundaries in surgical education by delivering expert feedback to residents anytime and anywhere. The LAPPCLINIC project.Surgery open science · 2025Article
- Endoscopic sleeve gastroplasty video assessment: do technical features influence ESG integrity and weight loss at 6 and 12 months follow-up?Surgical endoscopy · 2025Article
- Resting energy expenditure of females mid- to long-term after bariatric surgery: agreement between indirect calorimetry and predictive methods.European journal of clinical nutrition · 2025Article
- Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.Nutrients · 2025Article
- The Role of Artificial Intelligence in the Prediction of Bariatric Surgery Complications: A Systematic Review.Cureus · 2025Review
- Actual weight loss trajectories after bariatric surgery compared with the SOPHIA prediction tool: An observational comparison study.Diabetes, obesity & metabolism · 2025Observational
- Using artificial intelligence to evaluate adherence to best practices in one anastomosis gastric bypass: first steps in a real-world setting.Surgical endoscopy · 2025Article
- The Role of Artificial Intelligence in Obesity Risk Prediction and Management: Approaches, Insights, and Recommendations.Medicina (Kaunas, Lithuania) · 2025Review
- The Role of Preoperative Abdominal Ultrasound in the Preparation of Patients Undergoing Primary Metabolic and Bariatric Surgery: A Machine Learning Algorithm on 4418 Patients' Records.Obesity surgery · 2024Article
- Individualized Bariatric Surgery Utilizing Artificial Intelligence: A Call to Colleagues and New Year's Aspiration.Obesity surgery · 2024Article
- Implementation of Artificial Intelligence-Based Computer Vision Model for Sleeve Gastrectomy: Experience in One Tertiary Center.Obesity surgery · 2024Article
- Comment on "Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives".Obesity surgery · 2024Article
- Machine learning models to predict success of endoscopic sleeve gastroplasty using total and excess weight loss percent achievement: a multicentre study.Surgical endoscopy · 2024Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMachine learning (ML) has been successful in several fields of healthcare, however the use of ML within bariatric surgery seems to be limited. In this systematic review, an overview of ML applications within bariatric surgery is provided.
methodsThe databases PubMed, EMBASE, Cochrane, and Web of Science were searched for articles describing ML in bariatric surgery. The Cochrane risk of bias tool and the PROBAST tool were used to evaluate the methodological quality of included studies.
resultsThe majority of applied ML algorithms predicted postoperative complications and weight loss with accuracies up to 98%.
conclusionsIn conclusion, ML algorithms have shown promising capabilities in the prediction of surgical outcomes after bariatric surgery. Nevertheless, the clinical introduction of ML is dependent upon the external validation of ML.
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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 OpenQuestion graph.