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AI in radiology and interventions: a structured narrative review of workflow automation, accuracy, and efficiency gains of today and what’s coming
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Zitationen
1
Autoren
2025
Jahr
Abstract
AI has already demonstrated measurable gains in diagnostic accuracy, efficiency, and workflow standardization. Interventional applications are emerging, with future growth expected in guidance, robotics, and real-time optimization. Despite progress, key limitations include algorithm generalizability, clinical interpretability, organizational readiness, and regulatory uncertainty. AI will augment rather than replace human expertise, with collaborative human-AI workflows being essential. Future integration efforts must address interoperability, workforce adaptation, and ethical considerations to ensure safe, equitable, and clinically impactful deployment.
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