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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Contacts and locations

Locations

  • The First Affiiated Hospital of Sun Yat-sen University

    Guangzhou, Guangdong, 510080, China

Conditions

Explore the condition pages connected to this study.