Evaluates AI decision support for stroke detection in pre-hospital settings, suggesting faster treatment decisions.
To develop and evaluate an artificial intelligence-based clinical decision support system to improve the accuracy and clinical utility of stroke diagnosis in pre-hospital settings and to ultimately optimize time to treatment decisions, allowing more patients to benefit from thrombolytics.
No takes yet. Share an insight, caveat, or question.
Borsody et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: