Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup
In this white paper, the ACR Pediatric AI Workgroup of the Commission on Informatics educates the radiology community about the health equity issue of the lack of pediatric artificial intelligence (AI), improves the understanding of relevant pediatric AI issues, and offers solutions to address the i...
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| Veröffentlicht in: | Journal of the American College of Radiology 2023-08, Vol.20 (8), p.730-737 |
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| container_title | Journal of the American College of Radiology |
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| creator | Sammer, Marla B.K. Akbari, Yasmin S. Barth, Richard A. Blumer, Steven L. Dillman, Jonathan R. Farmakis, Shannon G. Frush, Don P. Gokli, Ami Halabi, Safwan S. Iyer, Ramesh Joshi, Aparna Kwon, Jeannie K. Otero, Hansel J. Sher, Andrew C. Sotardi, Susan T. Taragin, Benjamin H. Towbin, Alexander J. Wald, Christoph |
| description | In this white paper, the ACR Pediatric AI Workgroup of the Commission on Informatics educates the radiology community about the health equity issue of the lack of pediatric artificial intelligence (AI), improves the understanding of relevant pediatric AI issues, and offers solutions to address the inadequacies in pediatric AI development. In short, the design, training, validation, and safe implementation of AI in children require careful and specific approaches that can be distinct from those used for adults. On the eve of widespread use of AI in imaging practice, the group invites the radiology community to align and join Image IntelliGently (www.imageintelligently.org) to ensure that the use of AI is safe, reliable, and effective for children. |
| doi_str_mv | 10.1016/j.jacr.2023.06.003 |
| format | Article |
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| title | Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup |
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