Assessing Artificial Intelligence in Breast Imaging: A Survey of Breast Radiologists’ Insights on Adoption, Benefits, and Challenges

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.