Research status of artificial intelligence and bone age assessment based on deep learning

VernacularTitle:基于深度学习的人工智能技术与骨龄评估的研究现状
Author: Liting WU ¹ ; Rui WU ; Shuxiang LI ; Cui SONG
Author Information

1. 重庆医科大学附属儿童医院内分泌遗传代谢科，国家儿童健康与疾病临床医学研究中心，儿童发育疾病研究教育部重点实验室，儿科学重庆市重点实验室，重庆　400014
Keywords: Artificial intelligence; Deep learning; Bone age assessment; Review
From: Chinese Journal of Applied Clinical Pediatrics 2023;38(5):394-397
CountryChina
Language:Chinese
Abstract: Bone age can objectively reflect the human body growth and accurately assess the physical development level.Bone age assessment plays an important role in the growth and development, disease diagnosis and the monitoring of therapeutic efficacy in children and adolescents.In recent years, the artificial intelligence technology has been developed continuously.Applying artificial intelligence technology is expected to realize the automatic assessment of bone age.At present, the artificial intelligence technology of bone age assessment is mainly based on the deep learning (DL) algorithm.Although there have been many research on DL and bone age assessment, most are still in the experimental stage.This study reviews the research and progress of artificial intelligence technology based on DL applied to bone age assessment, aiming to provide reference and research ideas for relevant staff.