AI in Stroke Diagnosis and Treatment
Author Information
Author(s): Al-Janabi Omar M., El Refaei Amro, Elgazzar Tasnim, Mahmood Yamama M., Bakir Danah, Gajjar Aryan, Alateya Aysha, Jha Saroj Kumar, Ghozy Sherief, Kallmes David F., Brinjikji Waleed
Hypothesis
Can artificial intelligence improve the diagnosis and treatment of stroke?
Conclusion
AI tools in the treatment of stroke have demonstrated usefulness for diagnosing different stroke types, providing high levels of accuracy and helping to make quicker and more precise clinical judgments.
Supporting Evidence
- AI platforms like RapidAI, Brainomix®, and Viz.ai have shown significant improvements in stroke detection.
- AI tools can reduce door-to-needle times, enhancing treatment efficiency.
- Studies indicate high sensitivity and specificity for AI tools in detecting large vessel occlusions.
- AI has the potential to improve clinical decision-making in acute stroke management.
Takeaway
This study shows that AI can help doctors find and treat strokes faster and more accurately, which is really important for saving lives.
Methodology
A systematic review was conducted following PRISMA guidelines, analyzing studies from PubMed, Embase, Web of Science, and Scopus.
Limitations
The review lacks data on the cost of implementation and its effect on patient care, does not include studies on AI in stroke rehabilitation, and lacks longitudinal data.
Digital Object Identifier (DOI)
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