Tur, Carmen;
Collorone, Sara;
(2023)
Inteligencia artificial
en esclerosis múltiple
//
Artificial intelligence in multiple sclerosis.
Kranion
, 18
pp. 139-144.
10.24875/KRANION.M23000065.
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Abstract
La inteligencia artificial (IA) es la rama de la ciencia que tiene como objetivo crear algoritmos capaces de llevar a cabo tareas que normalmente requieren inteligencia humana. La medicina ha experimentado un notable aumento en las aplicaciones de la IA gracias a computadoras cada vez más potentes y a la aparición de grandes repositorios de datos. La esclerosis múltiple (EM) es una enfermedad autoinmune crónica que afecta al sistema nervioso central con una patogénesis compleja, un proceso diagnóstico desafiante y una alta variabilidad entre personas, en gran parte inexplicada. Las aplicaciones de la IA en la EM tienen un gran potencial para respaldar mejor el diagnóstico, encontrar marcadores pronósticos y ayudar a comprender los mecanismos de la enfermedad. Esta revisión tiene como objetivo resumir los avances recientes de la IA en la EM para ilustrar sus logros, limitaciones y direcciones futuras. // Artificial intelligence (AI) is the branch of science aiming at creating algorithms able to carry out tasks that typically require human intelligence. In medicine, there has been a tremendous increase in AI applications thanks to increasingly powerful computers and the emergence of big data repositories. Multiple sclerosis (MS) is a chronic autoimmune condition affecting the central nervous system with a complex pathogenesis, a challenging diagnostic process, and a high and largely unexplained variability across people. Therefore, AI applications in MS have the great potential of better support the diagnosis, find markers for prognosis, and help us understand the mechanisms of the disease. This topical review aims to summarise the recent advances in AI in MS to illustrate its achievements, limitations, and future directions
| Type: | Article |
|---|---|
| Title: | Inteligencia artificial en esclerosis múltiple // Artificial intelligence in multiple sclerosis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.24875/KRANION.M23000065 |
| Publisher version: | http://dx.doi.org/10.24875/kranion.m23000065 |
| Language: | Spanish |
| Additional information: | Copyright © 2023 Kranion. Publicado por Permanyer. Este es un artículo open access bajo la licencia CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Keywords: | Inteligencia artificial; Deep learning; Esclerosis múltiple; Resonancia magnética // Artificial intelligence; Deep learning; Multiple sclerosis; Magnetic resonance imaging |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10184816 |
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