AI use in breast imaging has accelerated over the past two years, with radiology centers rapidly adopting computer-aided detection (CAD) to improve accuracy and reduce reading times. Key players like Hologic, iCAD, and Kheiron Medical have received FDA approvals for advanced algorithms aimed at early breast cancer detection. Simultaneously, big tech companies (e.g., Google Health) are exploring research partnerships to refine AI mammography models. Despite strong momentum, challenges persist around reimbursement, clinician trust, and the integration of AI with existing mammography infrastructure.
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