What question did this study set out to answer?

The aim is to evaluate the effectiveness of a virtual assistant for early stroke detection and emergency referral optimization.

June 13, 2026

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

LALucas AlessandroUniversity of Belgrano SCSantiago CremaFundación para la Lucha contra las Enfermedades Neurológicas de la Infancia NBNicolas BianciottiUniversity of Buenos Aires

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.

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.

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

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Abstract

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