Can AI be a second pair of eyes for liver cancer detection?

NCT ID NCT07768085

First seen Aug 17, 2026 ยท Last updated Aug 17, 2026

Summary

This trial asks whether adding artificial intelligence (AI) to radiologists' reading of liver CT scans can match or improve standard reporting. It involves 40,000 adults who had contrast-enhanced CT scans of the abdomen. On some days, radiologists first read scans on their own, then see AI suggestions and may revise their reports; on other days, they use the usual workflow without AI. The main goal is to see if AI-assisted reading misses fewer clinically significant liver cancers, while also checking detection rates, diagnostic accuracy, and reporting speed.

What this could mean

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

Active substance
AI-assisted reading of contrast-enhanced CT scans
What this could lead to
If AI assistance proves non-inferior and improves detection, it could become a standard tool to help radiologists catch liver cancers earlier and reduce missed diagnoses.
What could go wrong
The trial is large but still early; AI may not consistently improve accuracy across all settings, and reliance on AI could introduce new errors or workflow issues.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Shengjing Hospital of China Medical University

    Shenyang, Liaoning, 110004, China

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