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Study identifier: NCT06066372 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

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

Condition: Choledocholithiasis  ·  Sponsor: Asian Institute of Gastroenterology, India

PhaseN/A
Planned participants1000
Who can joinAll sexes, 18 Years to 80 Years
Healthy volunteersNo

About this study

Machine learning predictive model can help in stratifying heterogenous intermediate likelihood group to reduce need for EUS or MRCP in selected subgroup of patients.

This description comes directly from the study's public registry record.

Talk to the study team

Nitin G Jagtap, MD  ·  +919182859523  ·  docnits13@gmail.com

Hardik Rughwani, MD  ·  +919182859523  ·  hardik.hr@gmail.com

Always discuss trial participation with your own doctor first.

Locations (1)

Asian Institute of GastroenterologyHyderabad, Telangana, IndiaRecruiting

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Source record: clinicaltrials.gov/study/NCT06066372