Advances in Ischemic Stroke Management: Toward Precision Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy and Drug Delivery".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 709

Special Issue Editor


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Guest Editor
Department of Neurology, University of Milan, Milan, Italy
Interests: neurology; stroke; cerebrovascular diseases; neuroepidemiology
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Special Issue Information

Dear Colleagues,

I warmly invite colleagues and researchers in the field of neurology, neurosurgery, emergency medicine, critical care, and related disciplines to submit their valuable contributions to this Special Issue dedicated to the comprehensive management of cerebrovascular diseases. This edition aims to serve as a platform for advancing knowledge and fostering discussion on a wide range of central topics concerning stroke.

We are particularly interested in original research articles or reviews that explore the acute and hyperacute management of ischemic and hemorrhagic stroke, including but not limited to thrombolysis, thrombectomy, surgical interventions, and advanced neuroimaging techniques. Contributions focusing on innovative strategies, clinical protocols, and therapeutic approaches that improve time to treatment and outcomes in the acute phase are especially welcome. Furthermore, we encourage submissions that address secondary prevention strategies, encompassing medical, surgical, and lifestyle interventions aimed at reducing the risk of recurrent cerebrovascular events. Articles discussing long-term patient follow-up, rehabilitation, and outcomes research are also of high interest. Another key focus of this issue is the neurocritical care of stroke patients, including management in intensive care units, monitoring strategies, and the role of multimodal neuromonitoring in guiding therapy and improving prognosis. 

Recent advances in vascular neurology have significantly transformed the landscape of neurovascular care, bringing unprecedented precision and efficacy to both diagnosis and treatment. This evolution deserves to be thoroughly explored, discussed, and disseminated. Through this Special Issue, we hope to highlight the latest innovations, promote interdisciplinary collaboration, and contribute meaningfully to the ongoing progress in the care of patients affected by cerebrovascular diseases. We look forward to hearing from you and the opportunity to collectively advance the frontiers of knowledge in this critical and rapidly evolving area of medicine.

Dr. Bruno Kusznir Vitturi
Guest Editor

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Keywords

  • cerebrovascular diseases
  • ischemic stroke
  • brain hemorrhage
  • secondary prevention
  • thrombolysis
  • endovascular treatment

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Published Papers (1 paper)

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Review

16 pages, 1066 KB  
Review
A Decade of Artificial Intelligence in Stroke Care (2015–2025): Trends, Clinical Translation, and the Precision Medicine Frontier—A Narrative Review
by Mian Urfy and Mariam Tariq Mir
J. Pers. Med. 2026, 16(4), 218; https://doi.org/10.3390/jpm16040218 - 16 Apr 2026
Viewed by 487
Abstract
Background/Objectives: Stroke generates 157 million disability-adjusted life-years (DALYs) annually, making it the leading neurological cause of global disease burden. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative technologies across the stroke care continuum. This narrative review maps the trajectory of [...] Read more.
Background/Objectives: Stroke generates 157 million disability-adjusted life-years (DALYs) annually, making it the leading neurological cause of global disease burden. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative technologies across the stroke care continuum. This narrative review maps the trajectory of AI in stroke medicine over the decade from 2015 to 2025. Methods: We conducted a narrative review with a structured, pre-specified search strategy across eight pre-specified thematic clusters using PubMed/MEDLINE (January 2015–December 2025), identifying 8549 records and including 1335 studies after screening. Inclusion criteria encompassed primary research articles, systematic reviews, meta-analyses, and RCTs reporting quantitative performance metrics or clinical outcome data for AI/ML in stroke. Results: Stroke imaging AI is the most commercially mature domain, with over 30 FDA-cleared tools. Automated ASPECTS scoring reduced radiologist reading time by 74.8% (AUC 84.97%; 95% CI: 83.1–86.8%). The only triage AI RCT demonstrated an 11.2 min reduction in door-to-groin time without significant improvement in 90-day functional independence (OR 1.3, 95% CI 0.42–4.0). Brain–computer interface rehabilitation showed significant upper limb recovery in a 17-center RCT (FMA-UE mean difference +3.35 points, 95% CI 1.05–5.65; p = 0.0045). AF detection AI is FDA-cleared and RCT-validated. LLMs and federated learning are pre-regulatory but growing exponentially. Conclusions: AI in stroke has achieved diagnostic maturity but therapeutic immaturity. Bridging algorithmic performance to patient outcomes, addressing equity gaps, and building the economic evidence base for scalable deployment are the defining challenges of the next decade. Full article
(This article belongs to the Special Issue Advances in Ischemic Stroke Management: Toward Precision Medicine)
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