AI reads CT scans to spot kidney tumors without contrast dye
NCT ID NCT07304492
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.
Disclaimer
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Fudan university Shanghai Cancer Center
Shanghai, Shanghai Municipality, 200032, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••