Use of artificial intelligence in bone age assessment

Abstract

Artificial intelligence (AI) system which can achieve stable, efficient and automatic bone age (BA) evaluation has been gradually embedded into clinical workflow. Herein, the routine BA methods were briefly reviewed and then followed by explanation of some terms commonly used in the area of AI. Then authors reviewed the research progresses of AI bone age software both in China and abroad in recent years, including the sources of training and validation dataset, the construction of algorithms and modules, and its performance in testing dataset. Finally, the challenges of applying AI in BA assessment were presented and some suggestions were given.

Keywords

• bone age|growth and development|artificial intelligence|deep learning