Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis
Recruiting
Observational Study
Choledocholithiasis
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 – 80
- Sex
- Any
- Study type
- Observational
- Participants needed
- 1,000 (estimated)
- Sponsor
- Asian Institute of Gastroenterology, India · Other
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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.
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
• Individual 18 years or older with a suspected choledocholithiasis satisfying either ASGE or ESGE risk stratification criteria of intermediate likelihood undergoing EUS or MRCP
Exclusion Criteria:
* Patients having co-exiting disease of pancreato biliary system other than gal…
Contacts