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Artificial Intelligence-Guided Detection of Blood Vessels to Enhance Safety in Third-Space Endoscopic Procedures

NCT07399652 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2026-04-15

No results posted yet for this study

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.

Conditions

  • Achalasia Cardia
  • Tumor

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Asian Institute of Gastroenterology, India

    lead OTHER

Principal Investigators

  • Abhishek Tyagi · Asian Intitute of Gastroenterology

Study Design

Allocation
RANDOMIZED
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-10
Primary Completion
2026-04-30
Completion
2026-04-30

Countries

  • India

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07399652 on ClinicalTrials.gov