Artificial intelligence (AI) has a broad application prospect in the field of bone tumor. By utilizing deep learning models and AI technology, it can provide effective assistance in pathological diagnosis of bone tumors, molecular biology diagnosis, imaging diagnosis and clinical data processing, providing patients with more accurate and personalized medical services. In terms of pathological diagnosis, AI can assist doctors to accurately identify and classify tumor types by automatically analyzing and reading a large number of pathological tissue section images. In terms of molecular biology diagnosis, AI discovers key genes and signaling pathways associated with bone tumors by analyzing large-scale genomics and transcriptomics data, which provides the basis for prognostic assessment and individualized treatment development. In terms of imaging diagnosis, AI can assist doctors to quickly and accurately analyze the image characteristics of bone tumors, automatically mark the location, size and morphology of tumors, guide treatment and predict prognosis. AI can also process large-scale clinical data to identify potential clinical features and patterns to assist in risk assessment, treatment decisions, and predicting prognosis. This paper reviews recent studies on the application of AI in the field of bone tumor diagnosis and treatment, with a view to improving the accuracy of bone tumor diagnosis, improving clinical prognosis, and providing a theoretical basis for the integrated development and innovation in the cross-field of medicine and industry.

Bone neoplasms; Artificial intelligence; Deep learning; Review