AI tool to help choose bowel limb length in gastric bypass surgery for obesity
Studies an explainable AI tool for gastric bypass surgery in adults with obesity.
Plain-language title generated from the registry record
Registry title: Prospective Study of an Explainable AI Tool to Support Biliopancreatic Limb Selection in One-Anastomosis Gastric Bypass
Key facts
- Where
- Astana, KazakhstanSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults who are planning a first (primary) one-anastomosis gastric bypass operation for obesity. Surgeons will record body and bowel measurements during surgery and follow patients afterwards.
- Age
- 18 to 65 years
- Sex
- All sexes can join.
- Disease stage
- Adults who meet the centre's own criteria for a first (primary) one-anastomosis gastric bypass (OAGB), done by keyhole or robot-assisted surgery.
- Earlier treatment
- No earlier gastric bypass, revision or conversion surgery. The operation must be the first (primary) one.
Main reasons for not taking part
- Repeat, revision or conversion gastric bypass surgery
- Anatomy that stops reliable measurement of the bowel segments
- Altered digestive tract anatomy outside the protocol
- Severe malnutrition or another condition where changing the bowel limb length would be inappropriate
- Cannot give informed consent or cannot complete the required follow-up
Read by machine on 9 November 2026.
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 65 years old?
Source: NCT07818317, who can take part
Where in Kazakhstan
- Oral OspanovAstana, KazakhstanNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- The Society of Bariatric and Metabolic Surgeons of Kazakhstan
- Trial code
- NCT07818317
- Record updated
- 14 September 2026
- Original description
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.Read full original descriptionShow less
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
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.
Inclusion: Adults aged 18 years or older at the time of consent; Patients who meet the institution's independent clinical criteria for primary one-anastomosis gastric bypass; Planned laparoscopic or robot-assisted OAGB at a participating centre; Ability to undergo standardized intraoperative measurement of the J-I segment, P_JI components, and total small-bowel length when clinically and ethically appropriate; Ability to provide informed consent according to local requirements; Willingness and reasonable ability to complete the prespecified postoperative follow-up.
Exclusion: Revisional, conversion, or non-primary gastric bypass surgery; Severe pre-existing malnutrition or another condition for which experimental variation in BPL length would be considered clinically inappropriate by the treating team; Operative anatomy that prevents reliable identification or measurement of the ligament of Treitz, the J-I segment, or the ileocecal junction; Unaddressed altered gastrointestinal anatomy that is outside the development protocol; Inability to provide informed consent when consent is required; Inability to complete the minimum follow-up required by the approved protocol, unless the participant is retained for an approved missing-data or safety analysis; Any intraoperative or postoperative circumstance in which the treating surgeon determines that protocol measurement would create unacceptable risk.