Survey assesses radiologists’ views on AI benefits and challenges in breast imaging, indicating potential for improvement.
Most survey respondents believe AI enhances breast cancer detection and workflow efficiency, but false-positive results, particularly in postsurgical scar and benign calcifications, limit its diagnostic utility. Barriers such as cost, integration, and trust hinder AI adoption. Refining AI algorithms to minimize false-positive results and addressing these barriers are crucial for clinical implementation.
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Nenow et al. (2025) studied this question.
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