Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis- A Prospective, Open Label, Diagnostic Study
Status: Recruiting
Location: See location...
Study Type: Observational
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
View:
• • Individual 18 years or older with a suspected choledocholithiasis satisfying either ASGE or ESGE risk stratification criteria of intermediate likelihood undergoing EUS or MRCP
Locations
Other Locations
India
Asian Institute of Gastroenterology
RECRUITING
Hyderabad
Contact Information
Primary
Nitin G Jagtap, MD
docnits13@gmail.com
+919182859523
Backup
Hardik Rughwani, MD
hardik.hr@gmail.com
+919182859523
Time Frame
Start Date: 2023-10-01
Estimated Completion Date: 2026-10-30
Participants
Target number of participants: 1000
Related Therapeutic Areas
Sponsors
Leads: Asian Institute of Gastroenterology, India