Singleton Department of Radiology, Texas Children's Hospital, Houston, Texas; Department of Radiology, Baylor College of Medicine, Houston, Texas; and Chair, Pediatric AI Workgroup, Commission on Informatics, American College of Radiology.
Radia, Lynnwood, Washington.
J Am Coll Radiol. 2023 Aug;20(8):730-737. doi: 10.1016/j.jacr.2023.06.003. Epub 2023 Jul 25.
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.
在这份白皮书中，ACR 儿科人工智能工作组向放射科医学界普及儿科人工智能（AI）缺乏这一公平健康问题，提高对儿科 AI 相关问题的认识，并提供解决方案，以解决儿科 AI 发展不足的问题。简而言之，在儿童中设计、训练、验证和安全实施 AI 需要仔细和具体的方法，这些方法可能与用于成人的方法不同。在 AI 在影像学实践中广泛使用之前，该工作组邀请放射科医学界加入 Image IntelliGently（www.imageintelligently.org），以确保 AI 的使用对儿童是安全、可靠和有效的。
