AI model spots best candidates for Post-Surgery liver cancer treatment
NCT ID NCT07562763
First seen May 04, 2026 · Last updated May 24, 2026 · Updated 5 times
Summary
This study looked at 1005 liver cancer patients who had surgery to remove their tumors. Researchers used machine learning to figure out which patients would get the most benefit from an additional treatment called transarterial chemoembolization (TACE) after surgery. The goal was to create a tool that helps doctors decide whether to recommend TACE or just monitor the patient, based on individual risk factors.
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 HEPATOCELLULAR CARCINOMA (HCC) are added.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Locations
-
The First Affiliated Hospital of USTC
Hefei, Anhu, 23000, China
Conditions
Explore the condition pages connected to this study.