Application of Artificial Intelligence in the Analysis of Magnetic Resonance Imaging for Identifying the Etiology in Stroke Patients (P4-14.016)

Develop a machine learning algorithm for the etiological classification of ischemic strokes through the analysis of brain magnetic resonance imaging

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000212272
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Artificial Intelligence in the Analysis of Magnetic Resonance Imaging for Identifying the Etiology in Stroke Patients (P4-14.016)

Ignacio G. Alfaro, I. V. Daza-Perilla, A. Francés, Juan José Martin et al.
Neurology
Brain Tumor Detection and Classification
article

Application of Artificial Intelligence in the Analysis of Magnetic Resonance Imaging for Identifying the Etiology in Stroke Patients (P4-14.016)

Ignacio G. Alfaro, I. V. Daza-Perilla, A. Francés, Juan José Martin, Ignacio Bozas, Agustin Allende
article en

Abstract

Develop a machine learning algorithm for the etiological classification of ischemic strokes through the analysis of brain magnetic resonance imaging

NeurologyVol. 104(7_Supplement_1)
Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Centro Universitario Allende (MX), Oldham Council (GB)
Openalex Percentile: Top 91%
Brain Tumor Detection and Classification
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