According to Jeff Dean, a joint study by Google Research, NHS, and Imperial College published in Nature Cancer shows an AI system detected 25% of interval breast cancers previously missed by conventional screening methods, while maintaining specificity and reducing clinical workloads. As reported by Nature Cancer, the AI significantly increased true positive detection without a meaningful rise in false positives, indicating strong potential for safer triage and quicker turnaround for clinicians and patients. According to Google’s blog, the workflow evaluation suggests AI can prioritize high-risk cases and automate negatives for review, enabling faster reporting and operational efficiency in population screening programs.