AI Medical Compendium Topic

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Bariatric Surgery

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Harnessing artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in generating clinician-level bariatric surgery recommendations.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: The formulation of clinical recommendations pertaining to bariatric surgery is essential in guiding healthcare professionals. However, the extensive and continuously evolving body of literature in bariatric surgery presents considerable c...

Harnessing artificial intelligence in bariatric surgery: correspondence.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery

Performance of artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in the American Society for Metabolic and Bariatric Surgery textbook of bariatric surgery questions.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: The American Society for Metabolic and Bariatric Surgery (ASMBS) textbook serves as a comprehensive resource for bariatric surgery, covering recent advancements and clinical questions. Testing artificial intelligence (AI) engines using th...

Comparison of machine learning models to predict complications of bariatric surgery: A systematic review.

Health informatics journal
Due to changes in lifestyle, bariatric surgery is expanding worldwide. However, this surgery has numerous complications, and early identification of these complications could be essential in assisting patients to have a higher-quality surgery. Machi...

Response to "Harnessing artificial intelligence in bariatric surgery: correspondence".

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery

Machine learning analysis of lab tests to predict bariatric readmissions.

Scientific reports
The purpose of this study was to develop a machine learning model for predicting 30-day readmission after bariatric surgery based on laboratory tests. Data were collected from patients who underwent bariatric surgery between 2018 and 2023. Laboratory...

Predicting serious postoperative complications and evaluating racial fairness in machine learning algorithms for metabolic and bariatric surgery.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Predicting the risk of complications is critical in metabolic and bariatric surgery (MBS).

Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.

Nutrients
According to the main international guidelines, patients with obesity and psychiatric/psychological disorders who cannot be addressed to surgery are recommended to follow a nutritional approach and a psychological treatment. A total of 94 patients (T...

Advanced Non-linear Modeling and Explainable Artificial Intelligence Techniques for Predicting 30-Day Complications in Bariatric Surgery: A Single-Center Study.

Obesity surgery
PURPOSE: Metabolic bariatric surgery (MBS) became integral to managing severe obesity. Understanding surgical risks associated with MBS is crucial. Different scores, such as the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Pr...