2023.10.10
Implementing AI-based computer-aided detection (CAD) software significantly enhances radiologists' accuracy in interpreting automated breast ultrasound (ABUS) exams, according to a study in Academic Radiology. Led by Mi-ri Kwon from Kangbuk Samsung Hospital, the research found that AI-CAD excels at detecting smaller cancers with lower BI-RADS categories and fewer retraction phenomena, thereby reducing oversight errors.
In a study of 262 breast lesions, AI-CAD notably improved diagnostic performance, particularly when helping radiologists adjust BI-RADS categories. The authors highlighted AI-CAD's potential to assist less experienced radiologists, making it a valuable tool in breast cancer detection.
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