Inteligencia Artificial en la identificación de la Neumonía Pediátrica en Radiografías de Tórax
DOI:
https://doi.org/10.35434/rcmhnaaa.2025.182.2671Palabras clave:
Neumonía, radiografía, Pediatría, Inteligencia Artificial, Ética, PerúResumen
El objetivo del artículo especial es describir el rol de la inteligencia artificial en la identificación de la neumonía pediátrica aplicada a las radiografías de tórax, resumiendo y analizando la evidencia más relevante y los avances recientes, además discutimos sus implicancias para la mejora del diagnóstico en áreas con escasez de especialistas. La inteligencia artificial ofrece un gran potencial para mejorar la categorización de la neumonía pediátrica en radiografías de tórax, especialmente en regiones con recursos limitados. Sin embargo, su éxito depende de la calidad de los datos, la confianza en los resultados por parte de los médicos, y la implementación de marcos éticos y de seguridad adecuados. Si bien se necesitan mayores investigaciones y desarrollo de estrategias de integración efectivas, la inteligencia artificial podría desempeñar un papel crucial en la lucha global contra la neumonía infantil.
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Derechos de autor 2025 Elizabeth Espinoza-Portilla, Milagro Henríquez-Suárez, Catia Cilloniz
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
