Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology
In this study, the VA showcased promising diagnostic accuracy and user satisfaction, bolstering confidence in further development. These outcomes encourage proceeding to a comprehensive phase 1/2 trial with 100 patients to thoroughly assess its "real-time" application in emergency neurological triage.
Authors
- Juan Ignacio Castiglione (ORCID: https://orcid.org/0000-0002-2689-5805)
- Mauricio Farez (ORCID: https://orcid.org/0000-0002-9754-8771)
- Sofia Rodríguez Murúa
- Lucas Alessandro (ORCID: https://orcid.org/0000-0002-8597-8213)
- Federico Eberbach
- Vanesa Nagel
- Abril Marone
- Alfredo Laffue
- Diego Fernández Slezak (ORCID: https://orcid.org/0000-0001-6348-1559)
- Alejandro Köhler
- José Manuel Pastor Rueda
- Francisco J. Varela (ORCID: https://orcid.org/0000-0001-8403-4467)
- Santiago Crema (ORCID: https://orcid.org/0000-0003-0200-5086)
- Daiana Dossi (ORCID: https://orcid.org/0000-0002-5823-880X)
- Carlos Debasa
- Pensa Claudio
Institutions
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Universidad de Buenos Aires (AR)
- Institute of Astronomy and Space Physics (AR)
- Neurology, Inc (US)
- Fundación Ciencias Exactas y Naturales (AR)
Publication Details
- Journal
- The Neurologist
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1097/nrl.0000000000000594
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62