AI may spare thousands from unnecessary scans for gallstones
NCT ID NCT06066372
First seen Jan 08, 2026 · Last updated May 14, 2026 · Updated 16 times
Summary
This study tests whether a machine learning model can accurately identify which patients with a moderate chance of having gallstones in the bile duct actually need an invasive scope or MRI scan. About 1,000 adults with suspected gallstones will be enrolled. If successful, the model could help many people avoid unnecessary procedures.
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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.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Asian Institute of Gastroenterology
RECRUITINGHyderabad, Telangana, 500032, India
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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