Application of Artificial Intelligence in the Diagnosis and Treatment of Moyamoya Disease

BACKGROUND: Various artificial intelligence-based medical technologies have been used for diagnosing and treating diseases. Although moyamoya disease (MMD) poses a significant threat to the lives of patients, artificial intelligence (AI) use in MMD is still limited. REVIEW SUMMARY: This study aims to review the literature on predicting, diagnosing, and treating MMD with AI, as well as to discuss its current status, challenges, and future directions. Using AI in treating MMD can enhance diagnostic accuracy and treatment outcomes. AI-driven imaging analysis aids in the early detection of vascular abnormalities linked to MMD, facilitating timely intervention and management. In addition, machine learning (ML) algorithms can analyze large data sets from clinical trials and patient records to identify patterns and predict outcomes, informing personalized treatment plans. CONCLUSIONS: AI has shown great potential in the diagnosis and treatment of MMD. The application of AI in treating MMD represents a promising frontier that may revolutionize clinical practices.