Ignite Creation Date:
2024-05-06 @ 7:35 PM
Last Modification Date:
2024-10-26 @ 3:10 PM
Study NCT ID:
NCT06066372
Status:
NOT_YET_RECRUITING
Last Update Posted:
2023-10-04
First Post:
2023-09-13
Brief Title:
Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis
Sponsor:
Asian Institute of Gastroenterology India
Organization:
Asian Institute of Gastroenterology India
Study Overview
Official Title:
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:
NOT_YET_RECRUITING
Status Verified Date:
2023-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
The current guidelines for suspected choledocholithiasis are aimed to reduce the risk of patient receiving diagnostic ERCP and reduce the risk of post ERCP adverse events In this process there is apparent increase in number of patients in the intermediate likelihood group requiring EUS or MRCP This can increase the health care utilization and cost of care for intermediate likelihood patients The field of artificial intelligence in clinical medicine is evolving rapidly The use of artificial intelligence based machine learning model is not adequately studied for prediction of choledocholithiasis Machine learning predictive model can help in stratifying heterogenous intermediate likelihood group to reduce need for EUS or MRCP in selected subgroup of patients
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None