Narrative review demonstrates AI's role in improving breast cancer screening outcomes, highlighting risk stratified approaches and clinical decision support.
Key Points
AI-driven tools enhance breast cancer screening, improving individualized protocols in early detection.
Risk stratified approaches reduce harms like overdiagnosis and false positives in screening protocols.
Multimodal risk models incorporating genetics and clinical data enhance screening precision and effectiveness.
Future success in AI-assisted screening hinges on regulatory validation and addressing equity in access.