AI reads scans to spot prostate cancer, spare unnecessary biopsies
NCT ID NCT07690306
First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time
Summary
This study aims to develop an artificial intelligence (AI) model that combines two advanced imaging techniques—multiparametric MRI and PSMA PET/CT—to more accurately diagnose prostate cancer. By analyzing data from up to 1,500 patients, the AI model is designed to identify clinically significant cancers while reducing false positives that lead to unnecessary biopsies. The goal is to help doctors make better decisions without invasive procedures.
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 diagnostic model
- What this could lead to
- If successful, this AI model could make prostate cancer diagnosis more accurate and less invasive, reducing the need for unnecessary biopsies.
- What could go wrong
- This is a retrospective study using existing data, so the AI model may not perform as well in real-world settings. It is still in the development and validation phase.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Beijing Hospital
Beijing, Beijing Municipality, 100730, China
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Chinese PLA General Hospital
Beijing, Beijing Municipality, 100853, China
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Qilu Hospital of Shandong University
Jinan, Shandong, 250012, China
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Renji Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, 200127, China
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The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, 510120, China
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