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The review explores the role of artificial intelligence in enhancing all phases of stroke management.

April 23, 2026Digital HealthOpen Access

Artificial intelligence in stroke management: From prevention to treatment

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The review explores the role of artificial intelligence in enhancing all phases of stroke management.
Review discusses various applications of AI across stroke care stages.
Focus on prehospital triage, acute management, rehabilitation, and secondary prevention.
Evaluation of AI technologies like deep learning and machine learning in stroke management.
AI reduces door-to-neurointerventional times by approximately 40 minutes.
Deep learning provides more accurate lesion estimation than conventional markers.
The integration of AI shows promise for enhancing rehabilitation through real-time data.

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Review discusses AI's role in improving stroke care, highlighting potential benefits and the need for validation.

Awamleh et al. (2026) studied this question.

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