基于深度学习的人工智能技术与骨龄评估的研究现状

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

骨龄能够客观反映人体生长情况,准确评估体格发育水平,骨龄评估在儿童青少年的生长发育、疾病诊断、临床治疗效果监测中发挥重要作用。近年来人工智能技术不断发展,将人工智能技术应用于骨龄评估领域,有望实现骨龄评估自动化,目前骨龄评估的人工智能技术主要基于深度学习(DL)算法进行,虽已有较多关于DL与骨龄评估的研究,但大部分仍处于实验阶段。现就目前应用于骨龄评估的基于DL的人工智能技术的研究与进展进行综述,以期为相关工作人员提供参考及研究思路。

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.