International Journal of Cerebrovascular Disease and Stroke

Role of AI in Diagnosis of Stroke

N John Camm*

Klinikum Nurnberg Hospital, Germany

*Corresponding author: N John Camm, Klinikum Numberg Hospital, Germany

Received Date: 01 March, 2023

Accepted Date: 13 March, 2023

Published Date: 16 March, 2023

Citation: Camm NJ (2023) Role of AI in Diagnosis of Stroke. Int J Cerebrovasc Dis Stroke 6:145. DOI:


Artificial intelligence (AI) has shown great potential in revolutionizing the diagnosis and treatment of stroke. With the ability to analyze large amounts of data quickly, AI can assist medical professionals in accurately identifying and diagnosing stroke patients, as well as predicting outcomes and determining the best course of treatment. By utilizing machine-learning algorithms, AI can analyze medical images, such as CT scans and MRIs, to identify the location and severity of the stroke, and provide real-time decision-making support. Additionally, AI can be used to monitor patients after treatment, improving outcomes and reducing the likelihood of reoccurrence. As the field of AI continues to advance, it is expected to play an increasingly important role in stroke diagnosis and treatment.

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