Overview
AI detects pulmonary emboli on CT pulmonary angiography to assist radiologists. Rapid detection supports timely anticoagulation and intervention. Triage alerts prioritize critical studies for review.
Model Performance
Sensitivity for central and segmental emboli is a key performance metric. False positives from artifacts and motion must be minimized. External validation ensures robustness across scanners.
Workflow Integration
AI alerts integrate with reporting systems to expedite clinician notification. Prioritization reduces time to treatment in acute cases. Human confirmation remains required before therapy.
Outcome Measurement
Impact on time to anticoagulation and clinical outcomes is assessed in implementation studies. Continuous monitoring tracks model performance and drift. Governance ensures safe clinical use.