Dutch researchers published a groundbreaking study in Radiology demonstrating that a hybrid reading strategy combining artificial intelligence with radiologist assessment improves mammogram interpretation accuracy. The model activates AI analysis only when the system’s confidence exceeds a threshold, optimizing sensitivity and specificity while reducing unnecessary readings. This method offers promise to enhance breast cancer screening protocols by integrating human expertise with machine learning predictions, ultimately aiming to improve early cancer detection rates and reduce false positives.