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- Title
Bridging the experience gap in pediatric radiology: towards AI-assisted diagnosis for children.
- Authors
Somasundaram, Elanchezhian; Meyers, Arthur B.
- Abstract
The article discusses the challenges of interpreting pediatric imaging and the reliance on non-radiologists for diagnosis in emergency settings. It suggests that AI assistance could help improve the diagnosis of pediatric imaging exams. The article highlights a study that presents an AI model capable of identifying and localizing upper extremity fractures in pediatric patients, outperforming on-call residents. The importance of human-verified training data and the potential of advanced AI methods are also discussed. The article emphasizes the need for addressing challenges such as AI deployment infrastructure and radiologist training to ensure AI solutions enhance patient care without complicating clinical workflow.
- Subjects
PEDIATRIC radiology; ARTIFICIAL intelligence; CHILD patients; FORELIMB; DIAGNOSIS
- Publication
Pediatric Radiology, 2023, Vol 53, Issue 12, p2398
- ISSN
0301-0449
- Publication type
Article
- DOI
10.1007/s00247-023-05767-7