[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100521190":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":13,"locations":22,"responsibleParty":39,"collaborators":7,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":7,"eligibilityCriteria":47,"healthyVolunteers":43,"sex":48,"minAge":49,"maxAge":50,"enrollmentInfo":51,"targetDuration":7,"studyType":54,"phases":7,"briefSummary":55,"conditions":56,"keywords":7,"overallStatus":24,"whyStopped":7,"lastUpdateSubmitDate":58,"lastUpdatePostDateStruct":59,"startDateStruct":62,"completionDateStruct":64,"leadSponsor":66,"locationsCount":67},{"fullName":5,"class":6},"Asian Institute of Gastroenterology, India","OTHER",null,[9],{"name":10,"affiliation":11,"role":12},"Mohan Ramchandani, MD","Asian Institute of Gastroenterology","STUDY_DIRECTOR",[14,19],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},"Nitin G Jagtap, MD","CONTACT","+919182859523","docnits13@gmail.com",{"name":20,"role":16,"phone":17,"phoneExt":7,"email":21},"Hardik Rughwani, MD","hardik.hr@gmail.com",[23],{"facility":11,"status":24,"city":25,"state":26,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":36},"RECRUITING","Hyderabad","Telangana","500032","India","IN",{"type":31,"coordinates":32},"Point",[33,34],78.45636,17.38405,{"lat":34,"lon":33},[37],{"name":10,"role":16,"phone":38,"phoneExt":7,"email":18},"+919282859523",{"type":40,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100521190","application-of-machine-learning-models-to-reduce-need-for-diagnostic-eus-or-mrcp-in-patients-with-intermediate-likelihood-of-choledocholithiasis-100521190",false,"NCT06066372","Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis","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","Inclusion Criteria:\n\n• Individual 18 years or older with a suspected choledocholithiasis satisfying either ASGE or ESGE risk stratification criteria of intermediate likelihood undergoing EUS or MRCP\n\nExclusion Criteria:\n\n* 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\n* Patients having underlying chronic liver diseases\n* Pregnancy and breast feeding\n* Previous history of cholecystectomy","ALL","18 Years","80 Years",{"count":52,"type":53},1000,"ESTIMATED","OBSERVATIONAL","Machine learning predictive model can help in stratifying heterogenous intermediate likelihood group to reduce need for EUS or MRCP in selected subgroup of patients.",[57],"Choledocholithiasis","2026-01-04",{"date":60,"type":61},"2026-01-06","ACTUAL",{"date":63,"type":61},"2023-10-01",{"date":65,"type":53},"2026-10-30",{"name":5,"class":6},1]