Currently, the prevalence of dwarfism in children in China is about 3%, which is a very large percentage compared with the large population base. With the increase of influencing factors, the prevalence of dwarfism is on the increase. However, there is a lack of awareness of dwarfism among parents and a lack of in-depth analysis of the causes of dwarfism and a low level of treatment among doctors. Early expert system knowledge base relies on manual editing, which is a traditional, semi-intelligent auxiliary diagnostic system, and is unable to perform disease diagnosis and clinical treatment monitoring well. Many studies have turned to the combination of IoT for bone age determination and its role in the diagnosis and monitoring of clinical treatment of dwarfism. In this study, 15 children with short stature who underwent health checkups at a hospital were enrolled in the study, and a G-P spectrum method was used to determine the bone age of all the enrolled subjects, and the results obtained in the process of bone age determination were systematically analyzed. The results showed that the bone age measurement technique has sufficient reference value for evaluating the quality and diagnosing diseases, and the research and development of this technique is of great significance for the development of modern clinical medicine.