Artificial Intelligence in the Prehospital Stage of Stroke: Can Virtual Assistants Optimize Triage? (P10-4.019)

Lucas Alessandro; Santiago Crema; Nicolas Bianciotti; Josefina Lombán; Carolina Perez Arana; Franco Bordon Orsingher; Agostina Linda Kañevsky; Virginia Pujol-Lerei; Sebastián Ameriso; Diego Fernández Slezak; Mauricio Farez

doi:10.1212/wnl.0000000000213122

June 9, 2026Neurology

Artificial Intelligence in the Prehospital Stage of Stroke: Can Virtual Assistants Optimize Triage? (P10-4.019)

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Key Points

The aim is to evaluate the effectiveness of a virtual assistant for early stroke detection and emergency referral optimization.
Developed an AI-based virtual assistant for stroke triage.
Conducted clinical validation of the virtual assistant.
Assessed its impact on emergency referral processes.
The virtual assistant improved early stroke detection rates.
Reduced time to emergency referral was observed, indicating efficiency gains.

Implication

Demonstrates improved stroke detection and referral in emergency settings, suggesting AI's potential.

Abstract

This study describes the development, refinement, and clinical validation of a virtual assistant (VA) based on AI for early stroke detection and appropriate emergency referral.

Discussion

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Cite This Study

Alessandro et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf300faef96ed7f0558c4 https://doi.org/10.1212/wnl.0000000000213122

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Artificial Intelligence in the Prehospital Stage of Stroke: Can Virtual Assistants Optimize Triage? (P10-4.019)

Key Points

Implication

Abstract

Discussion

Cite This Study

Artificial Intelligence in the Prehospital Stage of Stroke: Can Virtual Assistants Optimize Triage? (P10-4.019)

Key Points

Implication

Abstract

Discussion

Cite This Study

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