AI takes on radiologists: can a computer beat the standard for liver cancer diagnosis?

NCT ID NCT06626087

Completed Diagnosis Sponsor: The University of Hong Kong Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested a new artificial intelligence (AI) algorithm against the standard LI-RADS criteria for diagnosing liver cancer (hepatocellular carcinoma) on CT scans. Researchers enrolled 300 people at risk for liver cancer who had a new liver nodule found on ultrasound. The goal was to see if the AI could match or improve diagnostic accuracy compared to the current standard method.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Artificial intelligence algorithm
What this could lead to: If successful, this AI could help doctors diagnose liver cancer more accurately and quickly from CT scans.
What could go wrong: This is a completed study with 300 participants, but the AI is still a prototype and may not outperform current methods in real-world settings.

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 HEPATOCELLULAR CARCINOMA are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

hepatocellular carcinoma Liver Neoplasms

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEPATOCELLULAR CARCINOMA

Contacts and locations

Locations

Department of Medicine and Department of Surgery, The University of Hong Kong, Queen Mary Hospital

Hong Kong, Hong Kong
Department of Medicine, The University of Hong Kong, Queen Mary Hospital

Hong Kong, Hong Kong

More trials for these conditions

Other studies related to the condition(s) this trial covers.