The Role of Artificial Intelligence in Acute Ischemic Stroke Care: A Narrative Review.
Missouri Medicine · 2026-01-01 · Other / unclear
Abstract
Acute ischemic stroke remains a leading cause of death and disability; despite time-dependent reperfusion therapies, delays in recognition, imaging interpretation, triage, and specialist access still limit timely treatment. This narrative review outlines how artificial intelligence (AI) may reduce bottlenecks across the stroke pathway. Prehospital tools include dispatcher decision support, consumer wearables, mobile assessment apps, and portable diagnostics may improve early detection and destination selection. In-hospital, AI increasingly assists neuroimaging and workflow, including intracranial hemorrhage detection, automated ASPECTS scoring, large vessel occlusion identification, and perfusion-based estimation of tissue salvageability, often shortening notification and process times. We also discuss AI-enabled risk stratification, systems-of-care coordination, and emerging uses of generative AI for documentation and communication. Key limitations include domain shift, incomplete external validation, bias and equity risks, limited explainability, alert fatigue, integration challenges, and evolving regulatory accountability. Future priorities include multimodal models, prospective implementation-focused trials, and deployment-ready solutions for diverse real-world settings.
Abstract © the authors or publisher, via PubMed. Reuse and removal
Tags
Decision support tools · Dispatchers & call takers · Equity & disparities
Related articles
- Results of an international survey on the status of prehospital care. (Int J Stroke, 2023)
- Artificial intelligence in Emergency Medical Services dispatching: assessing the potential impact of an automatic speech recognition software on stroke detection taking the Capital Region of Denmark as case in point. (Scand J Trauma Resusc Emerg Med, 2022)
- Patterns, predictors, variations, and temporal trends in emergency medical service hospital prenotification for acute ischemic stroke. (J Am Heart Assoc, 2012)
- 9-1-1, what is your emergency? Human-centered artificial intelligence, language access and health policy. (Health Aff Sch, 2026)
- trIAje project: protocol for a retrospective cohort study to optimise AI-assisted telephone triage of time-sensitive conditions in emergency medical services. (BMJ Open, 2026)
- Stroke detection in medical emergency calls: a retrospective analysis and exploratory evaluation of an AI decision support model. (Scand J Trauma Resusc Emerg Med, 2026)