AI may decode kidney tumors from MRI scans, avoiding biopsies
NCT ID NCT07743749
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This study tests whether artificial intelligence can analyze MRI images to identify the type and aggressiveness of kidney tumors. Researchers will use scans from about 900 adults who have had surgery for kidney tumors, comparing AI predictions with the actual pathology results. The goal is to see if AI can provide a reliable, non-invasive way to assess tumors before treatment, potentially helping doctors plan personalized care without extra procedures.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- MRI-based artificial intelligence analysis
- What this could lead to
- If successful, this could give doctors a non-invasive way to predict kidney tumor type and aggressiveness from MRI scans, potentially guiding treatment decisions without immediate surgery.
- What could go wrong
- The AI models are still being developed and tested, and their accuracy may not be high enough for real-world use. The study relies on existing MRI data, which may vary in quality, and results may not apply to all patients or hospitals.
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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
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Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
RECRUITINGBeijing, China
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Other studies related to the condition(s) this trial covers.
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