Abstract
Stroke is still the world's second biggest cause of mortality.It is one of the illnesses that artificial intelligence (AI) can detect.Early detection of an acute stroke is crucial for commencingprompt treatments and reducing morbidity and death. Imagingtechniques such as (CT) Computed Tomography and (MRI)Magnetic Resonance Imaging can identify it, however, they takelonger and have worse accuracy than AI. Artificial intelligencealgorithms are particularly adapted to the rapid decision-makingrequired in the management of big vessel occlusive strokes.Through early categorization by CT and MRI, AI can assist inidentifying kinds of strokes such as ischemic and hemorrhagicstrokes. With the help of AI, doctors can quickly analyze a patient'sbrain scan and receive results in minutes. Imaging is also importantsince professionals may evaluate amounts of data and detect anyindicators of a possible stroke. AI enhances the quality of (CT) and(MRI) scans, yielding more than 90% accuracy and improvingpatient care. The AI detection time of a brain stroke is now 5minutes. We will discuss the use of AI in stroke imaging and how toimprove (CT) and (MRI) quality in this study.
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