Shivi Mendiratta, Mark Parsons, Carlos Garcia-Esperon, Amit Mehndiratta
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引用次数: 0
Abstract
PURPOSE OF REVIEW: This review aims to provide an overview of how artificial intelligence (AI) is being integrated into stroke care across the full clinical spectrum with emphasis on its applications in diagnosis, management, and rehabilitation. The focus is on recent advances (2020–2025), addressing key questions on clinical utility and implementation challenges. RECENT FINDINGS: AI has shown promise in enhancing stroke diagnosis through imaging analysis, wearable sensors, and remote monitoring. In stroke management, it supports decision-making and therapy optimization. AI-enabled tools are also improving rehabilitation via robotics and computer vision, and aid prevention through risk prediction and community screening. However, challenges remain in model generalizability, acceptance by the community, and ethical concerns. AI is reshaping stroke care by enabling personalized, timely, and data-driven approaches which can significantly improve quality of life. Future progress will depend on transparent multimodal, globally validated models, supported by interdisciplinary collaboration.
期刊介绍:
Current Neurology and Neuroscience Reports provides in-depth review articles contributed by international experts on the most significant developments in the field. By presenting clear, insightful, balanced reviews that emphasize recently published papers of major importance, the journal elucidates current and emerging approaches to the diagnosis, treatment, management, and prevention of neurological disease and disorders.
Presents the views of experts on current advances in neurology and neuroscience
Gathers and synthesizes important recent papers on the topic
Includes reviews of recently published clinical trials, valuable web sites, and commentaries from well-known figures in the field.