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

• Main Authors: Xi Wang (Author), Bo Zhou (Author), Ping Gong (Author), Ting Zhang (Author), Yan Mo (Author), Jie Tang (Author), Xinmiao Shi (Author), Jianhong Wang (Author), Xinyu Yuan (Author), Fengsen Bai (Author), Lei Wang (Author), Qi Xu (Author), Yu Tian (Author), Qing Ha (Author), Chencui Huang (Author), Yizhou Yu (Author), Lin Wang (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundThe accuracy and consistency of bone age assessments (BAA) using standard methods can vary with physicians' level of experience.MethodsTo assess the impact of information from an artificial intelligence (AI) deep learning convolutional neural network (CNN) model on BAA, specialists wi...