AI reads scans to pick right therapy for liver cancer
NCT ID NCT07368530
First seen Jan 26, 2026 · Last updated Apr 25, 2026 · Updated 11 times
Summary
This study looked back at medical records and scans of 3,000 people with liver cancer that could not be removed by surgery. Researchers used artificial intelligence to find patterns in the scans that might show which patients would do better with one type of liver-directed therapy (TACE) versus another (HAIC). The goal is to help doctors choose the most effective treatment for each person 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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Locations
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The First Affiiated Hospital of Sun Yat-sen University
Guangzhou, Guangdong, 510080, China
Conditions
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