Incorrect AI suggestions influence reader performance on mammography

Research shows that false-negative AI suggestions significantly impact radiologist performance in mammography interpretation, with the greatest adverse effects stemming from incorrect AI-generated recommendations. This study highlights the importance of AI validation and oversight in clinical imaging workflows.