Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis

SIMPLE SUMMARY: Spinal metastasis is the most common malignant disease of the spine, and its early diagnosis and treatment is important to prevent complications and improve quality of life. With the recent advances in medical imaging and artificial intelligence (AI), there is a dramatic rise in research related to computer-aided interpretation of spinal metastasis imaging. This study will review the current evidence for AI methods in spinal metastasis imaging using a systemic approach. Potential clinical applications of AI, designed to solve the issues frequently faced in the management of spinal metastasis, will also be discussed. ABSTRACT: Spinal metastasis is the most common malignant disease of the spine. Recently, major advances in machine learning and artificial intelligence technology have led to their increased use in oncological imaging. The purpose of this study is to review and summarise the present evidence for artificial intelligence applications in the detection, classification and management of spinal metastasis, along with their potential integration into clinical practice. A systematic, detailed search of the main electronic medical databases was undertaken in concordance with the PRISMA guidelines. A total of 30 articles were retrieved from the database and reviewed. Key findings of current AI applications were compiled and summarised. The main clinical applications of AI techniques include image processing, diagnosis, decision support, treatment assistance and prognostic outcomes. In the realm of spinal oncology, artificial intelligence technologies have achieved relatively good performance and hold immense potential to aid clinicians, including enhancing work efficiency and reducing adverse events. Further research is required to validate the clinical performance of the AI tools and facilitate their integration into routine clinical practice.