BI Rad

BI-RADS, the Breast Imaging Reporting and Data System, is a standardized lexicon for classifying breast imaging findings, aiding in breast cancer risk assessment and clinical decision-making. Current research focuses on developing and improving computer-aided diagnosis (CAD) systems using deep learning architectures like convolutional neural networks and transformers, often incorporating multi-view analysis and explainable AI techniques to enhance diagnostic accuracy and interpretability. These advancements aim to reduce unnecessary biopsies, improve diagnostic efficiency, and ultimately enhance patient care by providing more precise and reliable risk assessments. The integration of these AI-powered tools into clinical workflows holds significant potential for improving breast cancer detection and management.