AI could spot hidden cancers on routine CT scans

NCT ID NCT07639567

Not yet recruiting Diagnosis Sponsor: Lian Yang Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This study will test an artificial intelligence system that screens for breast, liver, kidney, and bladder cancers using standard CT scans taken for other reasons. Researchers plan to enroll 100,000 participants to see if the AI can catch tumors earlier and help doctors reduce missed diagnoses. The goal is to improve cancer detection without extra scans or radiation.

What this could mean

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

Active substance: deep learning-based AI software
What this could lead to: If successful, this AI could help doctors spot breast, liver, kidney, and bladder cancers earlier on routine CT scans, potentially improving survival rates.
What could go wrong: This is an early-stage study testing the AI's accuracy, not a treatment trial. The AI may not work as well in real-world settings or for all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

breast cancer kidney cancer liver cancer neoplasm urinary bladder carcinoma

As listed by the trial registrant

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

TUMOR

Contacts and locations

Locations

Union Hospital，Tongji Medical College，Huazhong University of Science and Technology

Wuhan, Hubei, 430000, China

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