Clinical Trial

Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis

Recruiting
View on ClinicalTrials.gov →
Record status
This record was last updated January 6, 2026 (before its estimated June 30, 2026 completion). Its status may not reflect the trial's current state.
Summary
Machine learning predictive model can help in stratifying heterogenous intermediate likelihood group to reduce need for EUS or MRCP in selected subgroup of patients.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2023-09-27.
Status change: Not Yet Recruiting → Recruiting 2026-01-04
Trial Details
NCT Number NCT06066372
Lead Sponsor Asian Institute of Gastroenterology, India
Conditions Choledocholithiasis
Enrollment 1,000 participants
Start Date 2023-10-01
Primary Completion 2026-06-30 (estimated)
Study Completion 2026-10-30 (estimated)
Updated on ClinicalTrials.gov 2026-01-06