AIMC Topic: Bariatric Surgery

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Predicting operative time for metabolic and bariatric surgery using machine learning models: a retrospective observational study.

International journal of surgery (London, England)
BACKGROUND: Predicting operative time is essential for scheduling surgery and managing the operating room. This study aimed to develop machine learning (ML) models to predict the operative time for metabolic and bariatric surgery (MBS) and to compare...

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...

The downtrending cost of robotic bariatric surgery: a cost analysis of 47,788 bariatric patients.

Journal of robotic surgery
The surgical robot is assumed to be a fixed, indirect cost. We hypothesized rising volume of robotic bariatric procedures would decrease cost per patient over time. Patients who underwent elective, initial gastric bypass (GB) or sleeve gastrectomy (S...

Bariatric Surgeon Ergonomics: A Comparison of Laparoscopy and Robotics.

The Journal of surgical research
INTRODUCTION: Bariatric surgery is routinely performed using laparoscopic and robotic approaches. Musculoskeletal injuries are prevalent among both robotic and laparoscopic bariatric surgeons. Studies evaluating ergonomic differences between laparosc...

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study.

JMIR human factors
BACKGROUND: Currently, over 4000 bariatric procedures are performed annually in Switzerland. To improve outcomes, patients need to have good knowledge regarding postoperative nutrition. To potentially provide them with knowledge between dietetic cons...

Do advances in technology translate to improved outcomes? Comparing robotic bariatric surgery outcomes over two-time intervals utilizing the MBSAQIP database.

Surgical endoscopy
BACKGROUND: This study aims to compare outcomes and utilization of robotics in bariatric procedures across two-time intervals, chosen because they correspond to drastic changes in technology utilization-namely, a new platform and a new stapling devic...

Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

Surgical endoscopy
BACKGROUND: Postoperative gastrointestinal bleeding (GIB) is a rare but serious complication of bariatric surgery. The recent rise in extended venous thromboembolism regimens as well as outpatient bariatric surgery may increase the risk of postoperat...

Current Trends in the Utilization of a Robotic Approach in the Field of Bariatric Surgery.

Obesity surgery
PURPOSE: The utilization rate of robotic surgery for bariatric procedures is not well-described. Our study identified the proportion of metabolic and bariatric surgery (MBS) procedures in the United States between 2015 and 2020 performed using a robo...