The Role of Artificial Intelligence in Diagnosing Acute Ischemic Stroke Using Diffusion MRI: A Multicenter External Validation Study — Graphical Abstract

On 21 Apr 2026, Journal of Integrative Neuroscience (JIN)  published an article by Beyza Nur Kuzan, Ali Abbasian Ardakani, Mahmut Esat Aykan, Mustafa Demir, Servan Yaşar, Mehmet Semih Çakır, Afshin Mohammadi, Taha Yusuf Kuzan titled "The Role of Artificial Intelligence in Diagnosing Acute Ischemic Stroke Using Diffusion MRI: A Multicenter External Validation Study".

This study evaluates an artificial intelligence (AI) model for detecting acute ischemic stroke using diffusion-weighted MRI (DWI) across three centers and 732 patients. The model achieved excellent diagnostic performance, maintaining high sensitivity, specificity, and accuracy in both internal and external validations.

The performance of the model was comparable to expert radiologists, while visualization techniques confirmed accurate lesion localization. These results highlight the model’s strong generalizability and clinical reliability.

As a decision-support tool, this AI approach can enhance diagnostic speed and consistency in emergency settings, particularly where specialist expertise is limited, ultimately supporting improved stroke management and patient outcomes.

 

Read the article:

The Role of Artificial Intelligence in Diagnosing Acute Ischemic Stroke Using Diffusion MRI: A Multicenter External Validation Study: https://www.imrpress.com/journal/JIN/25/4/10.31083/JIN48811

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