AI could slash unnecessary prostate biopsies in 'Gray Zone' patients
NCT ID NCT07631806
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests an artificial intelligence system that combines blood tests, lab data, and ultrasound images to better diagnose prostate cancer in men with borderline PSA levels (4-10 ng/mL). The goal is to reduce unnecessary biopsies by accurately identifying who truly has cancer. The trial involves 500 men in China and uses biopsy results as the gold standard to measure the AI's accuracy.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-assisted diagnostic system (combines ctDNA liquid biopsy, lab data, and ultrasound images)
- What this could lead to
- If successful, this could provide a more accurate, non-invasive way to diagnose prostate cancer in men with borderline PSA levels, reducing unnecessary biopsies.
- What could go wrong
- This is an early-stage validation study at a single hospital, so results may not apply to other populations. The AI system's accuracy depends on the quality of data and may still miss some cancers.
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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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Guangxi Medical University First Affiliated Hospital
Nan'ning, Guangxi, China
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