AI learns to read scans and reports for smarter disease diagnosis
NCT ID NCT07445152
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to create an artificial intelligence (AI) system that can combine medical images (like CT and MRI scans) with patient records and lab results to help doctors more accurately diagnose diseases of the liver, gallbladder, and pancreas. The researchers will use data from 2,000 adult patients to train and test the AI. The goal is to make diagnosis faster and more reliable, not to provide a new treatment.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for ARTIFICIAL INTELLIGENCE (AI) are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can pancreatic Cancer's inflammatory footprint be stopped?
- Can AI-Perfect faces fuel surgery anxiety?
- AI vs. Doctor's intuition: which leads to better diagnoses?
- Can AI learn to grade endoscopy quality from video?
- Can a smartphone app tame Alcohol-Related liver disease?
- Can a smarter scan make liver testing more reliable?