Introducción: La aplicación de la inteligencia artificial (IA) en radiología se encuentra en fases iniciales y estaría influenciada por la percepción de sus usuarios. Objetivo: Valorar el grado de conocimiento, interés y ...

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Objectives: Evaluate the performance of a deep learning (DL)-based model for multiple sclerosis (MS) lesion segmentation and compare it to other DL and non-DL algorithms. Methods: This ambispective, multicenter study ...

Introduction: Neuralgic amyotrophy (NA) is a painful non-traumatic peripheral nervous system condition affecting the brachial plexus. Signal abnormalities in nerves and muscles have been detected in these patients using ...

Background: Several MRI findings of optic neuritis (ON) have been described and correlated with specific underlying etiologies. Specifically, optic nerve enhancement is considered an accurate biomarker of acute ON. Objective: ...

El origen subcortical de la epilepsia ha sido tema de profundo debate durante muchísimo tiempo y solo se le otorgaba a las estructural subcorticales un rol en la distribución, modulación y alteración de la actividad cortical. ...

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Purpose: To investigate the diagnostic performance of an Artificial Intelligence (AI) system for detection of COVID-19 in chest radiographs (CXR), and compare results to those of physicians working alone, or with AI ...

Background and purpose: There are instances in which an estimate of the brain volume should be obtained from MRI in clinical practice. Our objective is to calculate cross-sectional robustness of a convolutional neural ...