Current Stroke Solutions Using Artificial Intelligence: A Review of the Literature

Area of Science:

• Medical technology
• Artificial intelligence in medicine
• Neurology

Background:

• Artificial intelligence (AI) is revolutionizing stroke diagnosis, treatment, and patient care.
• Platforms like RapidAI, Brainomix®, and Viz.ai assist healthcare professionals in rapid stroke assessment.

Purpose of the Study:

• To systematically review the literature on AI tools for stroke diagnosis and management.
• To evaluate the performance characteristics of leading AI platforms in stroke care.

Main Methods:

• Systematic review conducted following PRISMA guidelines.
• Searches performed on PubMed, Embase, Web of Science, and Scopus.
• Data extracted included sensitivity, specificity, and accuracy of AI tools.

Main Results:

• 31 studies were included in the review.
• 29 studies focused on acute ischemic stroke (AIS) and large vessel occlusions (LVOs).
• 2 studies investigated AI for hemorrhagic stroke detection. Viz.ai, RapidAI, Brainomix®, and deep learning modules were the primary tools analyzed.

Conclusions:

• AI tools are effective in diagnosing various stroke types with high accuracy.
• AI enhances the speed and precision of clinical judgments in stroke management.
• AI demonstrates significant utility in improving stroke diagnosis and treatment decision-making.