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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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