Artificial Intelligence in Vascular Neurology: Applications, Challenges, and a Review of AI Tools for Stroke Imaging, Clinical Decision Making, and Outcome Prediction Models.

Journal: Current neurology and neuroscience reports
PMID: 40343612

Abstract

PURPOSE OF REVIEW: Artificial intelligence (AI) promises to compress stroke treatment timelines, yet its clinical return on investment remains uncertain. We interrogate state‑of‑the‑art AI platforms across imaging, workflow orchestration, and outcome prediction to clarify value drivers and execution risks.

Authors

  • Murad M Alqadi
    Department of Surgery, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA.
  • Sarkis G Morales Vidal
    Department of Neurology, Loyola University Health System, Maywood, IL, 60153, USA. sarkis.moralesvidal@lumc.edu.

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