AI reads CT scans to spot kidney tumors without contrast dye

NCT ID NCT07304492

Not yet recruiting Diagnosis Sponsor: Fudan University Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This observational study will test an artificial intelligence model that can automatically detect and diagnose kidney tumors and cysts using non-contrast CT scans. Researchers aim to enroll 10,000 patients to build a system that distinguishes between cysts, benign growths, and malignant tumors. If successful, this could make kidney cancer screening safer and more accessible by avoiding the need for contrast dye.

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 model
What this could lead to: If successful, this AI could help doctors find and diagnose kidney tumors faster and safer using standard CT scans, without needing contrast dye.
What could go wrong: This is an early observational study, not a treatment trial. The AI may not be accurate enough for real-world use, and results may not apply to all patients or hospitals.

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.

cystic kidney disease kidney cancer kidney neoplasm

As listed by the trial registrant

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

RENAL CYST RENAL NEOPLASMS

Contacts and locations

Locations

Fudan university Shanghai Cancer Center

Shanghai, Shanghai Municipality, 200032, China

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