AI scans could pick right therapy for liver cancer patients
NCT ID NCT07368530
First seen Jan 26, 2026 · Last updated Jun 05, 2026 · Updated 20 times
Summary
This study looked at medical scans from 3,000 liver cancer patients to see if artificial intelligence could predict who would benefit more from one of two standard treatments: TACE or HAIC. Researchers used a computer model to group patients by tumor features seen on scans. The goal was to find out if certain imaging patterns match better outcomes with each treatment, helping doctors make more personalized choices in the future.
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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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Contacts and locations
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Locations
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The First Affiiated Hospital of Sun Yat-sen University
Guangzhou, Guangdong, 510080, China
Conditions
The condition(s) this trial relates to.
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