Artificial Intelligence–Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience

BACKGROUND: The accuracy and consistency of bone age assessments (BAA) using standard methods can vary with physicians' level of experience. METHODS: To assess the impact of information from an artificial intelligence (AI) deep learning convolutional neural network (CNN) model on BAA, specialis...

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Detalles Bibliográficos
Autores principales: Wang, Xi, Zhou, Bo, Gong, Ping, Zhang, Ting, Mo, Yan, Tang, Jie, Shi, Xinmiao, Wang, Jianhong, Yuan, Xinyu, Bai, Fengsen, Wang, Lei, Xu, Qi, Tian, Yu, Ha, Qing, Huang, Chencui, Yu, Yizhou, Wang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908427/
https://www.ncbi.nlm.nih.gov/pubmed/35281250
http://dx.doi.org/10.3389/fped.2022.818061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908427/
https://www.ncbi.nlm.nih.gov/pubmed/35281250
http://dx.doi.org/10.3389/fped.2022.818061

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