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

ConditionCholedocholithiasis

Trial statusRecruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age18-80

SponsorAsian Institute of Gastroenterology, India

About this trial

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

Eligibility criteria

Qualifiers

None

Disqualifiers

Patients having co-exiting disease of pancreato biliary system other than gall stones and choledocholithiasis which include chronic pancreatitis, biliary stricture, pancreatobiliary malignancy, portal biliopathy

Patients having underlying chronic liver diseases

Pregnancy and breast feeding

Previous history of cholecystectomy

Trial design

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Sponsors and collaborators

Asian Institute of Gastroenterology, India

Lead sponsor

Source ClinicalTrials.gov