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Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA
53
Zitationen
11
Autoren
2024
Jahr
Abstract
Artificial Intelligence, Radiology, Automation, Machine Learning Published under a CC BY 4.0 license. ©The Author(s) 2024. Editor's Note: The RSNA Board of Directors has endorsed this article. It has not undergone review or editing by this journal.
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Autoren
Institutionen
- University College Cork(IE)
- American College of Radiology(US)
- Grandview Medical Center(US)
- Western University(CA)
- University Medical Center Freiburg(DE)
- Association for the Advancement of Artificial Intelligence(US)
- Galorath (United States)(US)
- University of California, San Francisco(US)
- University of California System(US)
- Australian Institute of Business(AU)
- The University of Adelaide(AU)
- Goethe University Frankfurt(DE)
- University Hospital Frankfurt(DE)
- University Hospital Cologne(DE)
- Université de Montréal(CA)
- Tufts University(US)
- Tufts Medical Center(US)
- Lahey Medical Center(US)
- Flinders University(AU)
- Flinders Medical Centre(AU)