Impacto de la IA en la Predicción y Detección Oportuna de Enfermedades: Una Revisión Sistemática
DOI:
https://doi.org/10.69681/lajae.v7i1.35Palabras clave:
Machine learning, diagnóstico médico, algoritmos predictivos, salud 4.0Resumen
La Inteligencia Artificial (IA) ha surgido como una herramienta transformadora en el entorno de la salud. Esta revisión tiene como objetivo evaluar los efectos de las tecnologías con base en IA en la predicción y detección oportuna de enfermedades. Se realizó una revisión sistemática de la literatura con base en los lineamientos de la metodología PRISMA. A partir de un total de 27,359 estudios identificados, 28 fueron incluidos debido a que demostraron la efectividad de los algoritmos de machine learning. Los resultados revelaron que los algoritmos se aplicaron principalmente para predecir enfermedades cardiovasculares (n = 9), neurológicas (n = 6), oncológicas (n = 5), hepáticas (n = 3), pulmonares (n = 3) e infecciosas (n = 2). Además, se midió la precisión de los principales algoritmos en 23 estudios y 19 reportaron valores superiores al 90%. La aplicación de técnicas de IA, ha demostrado un potencial significativo para mejorar el diagnóstico y la predicción de una amplia gama de enfermedades.
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Derechos de autor 2024 Carlos Zepeda Lugo, Andrea Insfran-Rivarola, Ana Arévalos
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