- Summary: This article reviews the application of AI and machine learning in diagnosing cerebrovascular diseases, such as ischemic stroke, hemorrhagic stroke, aneurysm, and arteriovenous malformation. The advancements in AI algorithms and machinery have the potential to revolutionize patient care by aiding in timely diagnosis and intervention.
- Key Points:
- AI in Medicine: AI is being actively implemented in various medical fields, including cerebrovascular disease diagnosis.
- Clinical Relevance: The review summarizes the current AI and ML techniques used in cerebrovascular disease and their potential future applications.
- Collaboration Needed: Active collaboration between AI engineers and physicians is essential for further integration of AI into standard care.
