Early Decision Support and Triage Tools
Early clinical deployments of artificial intelligence focused on triage tasks such as prioritizing studies with suspected acute findings and on workflow augmentation to reduce time to read and to route urgent cases to on call radiologists
Validation and Regulatory Pathways
Clinical AI required validation studies demonstration of impact on workflow and patient outcomes and navigation of regulatory pathways to ensure safety and performance and early adopters emphasized prospective evaluation and monitoring for performance drift
Operational Integration and Acceptance
Successful integration combined technical interoperability with change management clinician engagement and transparent reporting of algorithm performance and limitations which supported clinician trust and sustainable use in routine practice