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

> **NCT06066372** · — · RECRUITING · sponsor: **Asian Institute of Gastroenterology, India** · enrollment: 1000 (estimated)

## Conditions studied

- Choledocholithiasis

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06066372
- **Lead sponsor:** Asian Institute of Gastroenterology, India
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2023-10-01
- **Primary completion:** 2026-06-30
- **Final completion:** 2026-10-30
- **Target enrollment:** 1000 (ESTIMATED)
- **Last updated:** 2026-01-06


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06066372

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06066372, "Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis". Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/clinical/NCT06066372. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*