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Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration
2
Zitationen
9
Autoren
2026
Jahr
Abstract
Informatics, Named Entity Recognition, Patient Scheduling/No-Show Prediction, Resource Allocation, Impact of AI on Education, Artificial Intelligence, Large Language Models, Agentic AI, Multi-Agent Systems, Radiology Workflow, Clinical Decision Support, Health Care Automation © RSNA, 2026.
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Autoren
Institutionen
- Mayo Clinic(US)
- Yale University(US)
- University Hospital of Basel(CH)
- University Children’s Hospital Basel(CH)
- University of Pennsylvania(US)
- Emory University(US)
- TUM Klinikum(DE)
- Deutsches Herzzentrum München(DE)
- Technical University of Munich(DE)
- University of California, San Francisco(US)
- University of California System(US)