Inteligencia artificial en la evaluación y manejo de pacientes con epilepsia.

Autores/as

  • Elma Paredes-Aragón Programa de Epilepsia, Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University. London, Ontario, Canadá.
  • Jorge G. Burneo Unidad de Neuro-Epidemiología, Schulich School of Medicine and Dentistry, Western University. London, Ontario, Canadá.

DOI:

https://doi.org/10.20453/rnp.v85i2.4231

Palabras clave:

Algoritmos epilepsia, aprendizaje automático, cirugía de epilepsia, dispositivos en epilepsia, epilepsia. inteligencia artificial, neuromodulación

Resumen

La epilepsia es una enfermedad que frecuentemente conlleva significativos niveles de morbi-mortalidad, afecta seriamente la calidad de vida y, en cerca de un tercio de los pacientes, es refractaria a diversos tratamientos. La inteligencia artificial (IA) ha beneficiado el estudio, tratamiento y pronóstico de los pacientes con epilepsia a través de los años. Estos logros abarcan diagnóstico, predicción de crisis automatizada, monitoreo avanzado de crisis epilépticas y electroencefalograma, uso de recursos genéticos en manejo y diagnóstico, algoritmos en imagen y tratamiento, neuromodulación y cirugía robótica. La presente revisión explica de forma práctica los avances actuales y futuros de la inteligencia artificial, rama de la ciencia que ha mostrado resultados prometedores en el diagnóstico y tratamiento de pacientes con epilepsia.

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2022-06-21

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1.
Paredes-Aragón E, Burneo JG. Inteligencia artificial en la evaluación y manejo de pacientes con epilepsia. Rev Neuropsiquiatr [Internet]. 21 de junio de 2022 [citado 28 de marzo de 2024];85(2):139-52. Disponible en: https://revistas.upch.edu.pe/index.php/RNP/article/view/4231

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