In recent years

artificial intelligence (AI) technology has experienced a rapid development in the field of medical imaging

with increasing applications in bone tumor imaging. These applications encompass tasks such as tumor segmentation

classification

chemotherapy efficacy evaluation

and prognostic prediction. These advancements facilitate the development of related computer-aided diagnostic tools

which assist in reducing misdiagnoses and unnecessary biopsies. Furthermore

they can guide the formulation of clinical decisions and personalized treatment strategies

thereby advancing the process of precise treatment for bone tumors. Multiple studies have established the superiority of AI technology. With the gradual expansion of sample sizes and continuous refinement of models

AI models are expected to gradually be integrated into clinical practice and emerge as essential tools in the diagnosis and treatment of bone tumors

aiding precision medicine.