Clinical Research Directory
Browse clinical research sites, groups, and studies.
Prospective Study of an Explainable AI Tool to Support Biliopancreatic Limb Selection in One-Anastomosis Gastric Bypass
Sponsor: The Society of Bariatric and Metabolic Surgeons of Kazakhstan
Summary
This prospective observational cohort study will develop and externally validate a human-supervised, explainable artificial-intelligence decision-support model for analysing factors associated with biliopancreatic limb length selection during one-anastomosis gastric bypass (OAGB). The study will record three prespecified factors: the percentage of the laparoscopic instrument segment J-I covered by visceral or omental fat (P\_JI = 100 × FI/JI), the measured total small-bowel length (TSBL), and the abdominal integral index (AII = (CD/AC) + (CG/EG) + (JI/FI)). The study will evaluate weight-loss effectiveness, nutritional and malabsorptive outcomes, bile/acid reflux, major complications, and technical feasibility. During model development, the AI system will not autonomously assign a BPL length. The operating bariatric surgeon will make the clinical decision, and the model will be evaluated for calibration, external validity, factor contribution, safety constraints, and abstention.
Official title: A Study Protocol for Multivariable Regression and Explainable Artificial Intelligence to Support Biliopancreatic Limb Selection in One-Anastomosis Gastric Bypass Using J-I Fat Coverage, Total Small-Bowel Length, and AII
Key Details
Gender
All
Age Range
18 Years - 65 Years
Study Type
OBSERVATIONAL
Enrollment
120
Start Date
2027-01-15
Completion Date
2029-11-01
Last Updated
2026-09-14
Healthy Volunteers
No
Conditions
Interventions
One-anastomosis gastric bypass with observed biliopancreatic limb length
Participants undergo primary laparoscopic or robot-assisted one-anastomosis gastric bypass as part of routine clinical care. The observed biliopancreatic limb length, operative configuration, surgical platform, centre, and surgeon are recorded. During model development, the study does not assign a BPL length and the AI system does not replace the surgeon's clinical judgment. Candidate lengths of 0.5, 1, 2, and 3 m are research-action labels used to evaluate predictions and safety constraints, not automatically assigned treatment arms. Additional exposure variables: * P\_JI (%) = 100 × FI/JI * TSBL in centimetres * AII = (CD/AC) + (CG/EG) + (JI/FI) * Residual absorptive bowel after observed BPL length * Surgical platform: laparoscopic or robot-assisted * Centre and surgeon identifier * Operative configuration and reflux-prevention technique
Locations (1)
Oral Ospanov
Astana, Aqmola, Kazakhstan