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The purpose of this study is to evaluate the effectiveness of lesion detection and diagnosis-aiding software (CadAI-B for Breast) during ultrasound (US) examination
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CadAI-B for Breast is a real-time AI diagnosis system designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. The primary objective of the study is to evaluate the effectiveness of CadAI-B in the assistance of detection and diagnosis of breast cancer by comparing the clinical performance of physicians before and after using CadAI-B in their ultrasound reading. The secondary objective of this study is to evaluate the sensitivity and specificity using CadAI-B for US examinations.
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1,000 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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