AI matches expert radiologists in spotting prostate cancer
NCT ID NCT06575361
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested whether an artificial intelligence (AI) system could help find prostate cancer on MRI scans. 365 men who needed a prostate biopsy had their MRI images reviewed by both the AI and by senior radiologists. Doctors then performed targeted biopsies on any suspicious areas found by either the AI or the radiologists. The goal was to see if the AI could detect clinically significant prostate cancer as accurately as the experts.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
MRI artificial intelligence (MRI-AI) software
What this could lead to
If successful, MRI-AI could help doctors find prostate cancer more accurately and reduce unnecessary biopsies.
What could go wrong
This is a completed study, but AI may not work as well in all hospitals or on different MRI machines. It also cannot replace a doctor's final judgment.
Disclaimer
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the original study
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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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Locations
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Peking University First Hospital
Beijing, Beijing Municipality, 100034, China