Overview
AI triage systems prioritize mammograms based on likelihood of abnormality. They aim to reduce reading backlog and speed up diagnosis. Triage supports radiologist efficiency in screening programs.
Performance Metrics
Key metrics include sensitivity recall rate and false positive rate. Thresholds are set to balance workload and missed cancers. Ongoing monitoring ensures consistent performance.
Workflow Impact
Triage can route high risk cases for expedited review. It may reduce time to diagnosis for patients with significant findings. Integration with screening workflows requires careful planning.
Equity and Access
Algorithms must be validated across diverse populations to avoid bias. Access to AI tools should not widen disparities in care. Transparent reporting of performance by subgroup supports equity.