Clinical Application of Artificial Intelligence Software in Bone Age Assessment of Developmental Related Diseases in Children

Abstract

Abstract: Objective To explore and analyse the clinical application values of artificial intelligence software in bone age assessment of developmental related diseases in children. Methods 84 cases of children with developmental related diseases diagnosed and treated at a certain hospital from May 2020 to December 2022 were selected as the research subjects. All children were underwent left hand digital X-ray examination, and bone age assessment were conducted using artificial intelligence imaging analysis software from Hangzhou Shenrui Bolian Technology Co., Ltd. The digital X-ray films were also reviewed by resident imaging physicians and chief imaging physicians. Used the chief physician of the imaging department as the gold standard to determine the evaluation value. Results AI reading time was significantly less than that of residents and gold standard （P<0.05）, and there was no significant difference between residents and gold standard （P>0.05）. There was no significant difference between the AI reading error （P>0.05）, and the resident and gold standard reading error （P<0.05）. The accuracy of resident reading, artificial intelligence reading and gold standard reading was 88.10%, 97.62% and 98.81% respectively. The accuracy of AI reading and gold standard reading was significantly higher than that of resident reading （P<0.05）, and there was no significant difference in the accuracy of AI reading and gold standard reading （P>0.05）. Conclusion The clinical application of artificial intelligence software in the assessment of bone age in children with developmental related diseases can shorten the reading time, improve the accuracy of bone age determination, and reduce the error of reading.

Key words: Artificial intelligence software, Developmental related diseases in children, Bone age, Reading time, Accuracy, Error

CLC Number:

R179

DENG Cheng-qing, SUN An-lin, TANG Yu-xuan, ZHANG Ping, TANG Ai-qun. Clinical Application of Artificial Intelligence Software in Bone Age Assessment of Developmental Related Diseases in Children[J]. ZHONGHUA YANGSHENG BAOJIAN, 2023, 41(22): 54-57.

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