Current and Emerging Strategies in Ischemic Stroke: Diagnosis, Treatment, and Prevention
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Neurology".
Deadline for manuscript submissions: 25 August 2026
Special Issue Editors
2. Medical Science and Engineering, Graduate School of Convergence Science and Technology, Pohang University of Science and Technology, Pohang 37666, Republic of Korea
Interests: medical AI; epidemiology; neurorehabilitation; and clinical neurophysiology
Interests: rehabilitation medicine; physical medicine
2. Department of Neurology, Korea University Ansan Hospital, Ansan 15355, Republic of Korea
Interests: neuroimaging; neurodegenerative disease
Special Issue Information
Dear Colleagues,
Ischemic stroke is a leading cause of disability and mortality worldwide. Significant advances have been made in acute management, such as thrombolysis and mechanical thrombectomy. The focus has now shifted to optimizing the entire continuum of care, from rapid diagnosis to long-term recovery. The evolution of diagnostic imaging (CT/MRI) and the integration of novel technologies, including machine learning (ML) and artificial intelligence (AI), are playing a crucial role in personalized risk assessment and therapeutic planning.
This Special Issue aims to highlight cutting-edge research across the entire spectrum of ischemic stroke care: early diagnosis, acute intervention, comprehensive secondary prevention, and rehabilitation. We seek strategies that leverage technological and clinical advancements to improve patient outcomes, with a particular emphasis on data-driven and technology-enabled solutions.
We welcome submissions of original research articles, comprehensive reviews, and meta-analyses. Areas of interest include clinical trials for new therapies, primary/secondary prevention studies, large-scale cohort data analysis, AI/ML model validation, and research on functional outcomes and neurorehabilitation techniques.
Dr. Dougho Park
Dr. Hyoung-Seop Kim
Guest Editors
Dr. Jong Hun Kim
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- diagnosis
- digital medicine
- epidemiology
- ischemic stroke
- machine learning
- neurorehabilitation
- prevention
- stroke imaging
- treatment
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