Clinical Research Directory
Browse clinical research sites, groups, and studies.
Artificial Intelligence-Guided Detection of Blood Vessels to Enhance Safety in Third-Space Endoscopic Procedures
Sponsor: Asian Institute of Gastroenterology, India
Summary
This prospective study aims to evaluate the performance of a novel Artificial Intelligence (AI) clinical decision support tool during third space endoscopic procedures, such as Endoscopic Submucosal Dissection (ESD) and Peroral Endoscopic Myotomy (POEM). While these procedures are effective for treating gastrointestinal neoplasms and motility disorders, they carry risks of intraprocedural bleeding and perforation if submucosal blood vessels are not correctly identified and coagulated. Building on previous retrospective validation, this study will assess whether a real-time artificial intelligence model can assist endoscopists in detecting and delineating blood vessels more accurately and faster during live human procedures.
Official title: Artificial Intelligence-Guided Detection of Anatomical Markers to Enhance Safety in Third-Space Endoscopic Procedures
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
20
Start Date
2026-02-16
Completion Date
2026-04-30
Last Updated
2026-02-10
Healthy Volunteers
No
Conditions
Interventions
AI generated segmentation mask for sub-mucosal blood vessels
Real time AI generated segmentation mask or delineation contours for sub-mucosal blood vessels visible on the endoscopy monitor.
Locations (1)
Asian Institute of Gastroenterology
Hyderabad, Telangana, India