Responsible AI in Radiology: Balancing Innovation, Trust and Accountab
- 27/02/2026
AI is moving from pilots to everyday radiology, improving acquisition, triage, measurement, reporting and workflow. Responsible adoption depends on proven clinical value and safety, radiologist oversight, transparency, fairness and privacy, and governance across the AI lifecycle. Hospitals should validate tools locally, integrate them into PACS/RIS, monitor performance and drift, assign clear c1
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