Artificial intelligence in the evaluation and management of patients with epilepsy.

• Autores: Paredes-Aragón, Elma, Burneo, Jorge G.
• Formato: artículo
• Fecha de Publicación: 2022
• Institución: Universidad Peruana Cayetano Heredia
• Repositorio: Revistas - Universidad Peruana Cayetano Heredia
• Lenguaje: español
• OAI Identifier: oai:revistas.upch.edu.pe:article/4231
• Enlace del recurso: https://revistas.upch.edu.pe/index.php/RNP/article/view/4231
• Nivel de acceso: acceso abierto
• Materia: Epilepsy; deep learning; epilepsy surgery; artificial intelligence; refractory epilepsy; neuromodulation; Algoritmos epilepsia; aprendizaje automático; cirugía de epilepsia; dispositivos en epilepsia; epilepsia. inteligencia artificial; neuromodulación

Epilepsy is a condition that frequently coexists with significant morbi-mortality levels, seriously affects the quality of life and, in up to one third of patients, is refractory to a variety of treatment approaches. Artificial intelligence (AI) has largely benefitted the study, treatment, and prognosis of patients with epilepsy through the course of recent years. These achievements applied the fields of diagnosis, automated seizure prediction, advanced seizure monitoring and electroencephalogram, use of genetics in diagnosis and management, imaging algorithms in the treatment, neuromodulation, and robotic surgery. This review conveys the actual and future directions of AI. a branch of science that has shown promising results in the treatment and diagnosis of patients with epilepsy.