AI may spare thousands from unnecessary scopes for gallstone diagnosis
NCT ID NCT06066372
First seen Jan 08, 2026 · Last updated Jun 12, 2026 · Updated 22 times
Summary
This study tests whether a machine learning model can accurately identify which patients with a moderate chance of having bile duct stones actually need an endoscopic ultrasound (EUS) or MRI scan (MRCP). Researchers will enroll 1,000 adults and compare the computer's predictions to standard diagnostic results. If successful, the model could help many people avoid unnecessary, invasive procedures.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CHOLEDOCHOLITHIASIS are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Asian Institute of Gastroenterology
RECRUITINGHyderabad, Telangana, 500032, India
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
Explore the condition pages connected to this study.