ai in radiology

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This overview highlights the significance of AI in radiology, detailing its definitions and applications in detection and workflow amidst increasing imaging demands. It discusses a case study on AI's role in identifying strokes, emphasising the importance of measuring performance metrics while addressing bias and clinical oversight. Finally, it advocates for a responsible adoption of AI, recommending a focus on validated use cases and tracking outcomes to enhance radiologists' capabilities...