Hyo-Kyoung Nam, Winnah Wu-In Lea, Zepa Yang, Eunjin Noh, Young-Jun Rhie, Kee-Hyoung Lee, Suk-Joo Hong
PURPOSE: Bone age is needed to assess developmental status and growth disorders. We aimed to evaluate the clinical performance of a deep learning-based bone age software on the chronological age of healthy Korean children. METHODS: This retrospective study included 371 healthy children (217 boys, 154 girls), aged between 4 and 17 years, who visited the department of Pediatrics for health check-ups between January 2017 and December 2018. A total of 553 left-hand radiographs of 371 healthy Korean children were evaluated using a commercial deep learning-based bone age software (BoneAge, Vuno, Seoul, Korea)...
January 24, 2024: Annals of Pediatric Endocrinology & Metabolism