AI takes on breast cancer detection: can machines match expert radiologists?
NCT ID NCT07500428
First seen Apr 07, 2026 · Last updated Jun 06, 2026 · Updated 7 times
Summary
This study will test how well artificial intelligence (AI) can interpret breast ultrasound images using the latest BI-RADS criteria. Researchers will collect over 1,300 past ultrasound images with confirmed diagnoses and have expert radiologists annotate them. Then, various AI models will be evaluated on their accuracy in classifying breast lesions as benign or malignant. The goal is to build a standard benchmark to assess AI performance in breast imaging, which could help improve future diagnosis.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Peking Union Medical College Hospital
RECRUITINGBeijing, 100730, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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