Inteligencia artificial en el análisis predictivo de patologías frecuentes en medicina interna, ginecología y pediatría
Palabras clave:
Inteligencia Artificial, Aprendizaje Automático, Modelos Predictivos, Toma de Decisiones Clínicas, Medicina Interna, Ginecología y Obstetricia, Pediatría.Resumen
La inteligencia artificial (IA) ha emergido como una herramienta relevante en el ámbito de la salud, especialmente en el desarrollo de modelos predictivos que apoyan la toma de decisiones clínicas. Este estudio tuvo como objetivo analizar, mediante una revisión sistemática, papel de la inteligencia artificial en el desarrollo de modelos predictivos aplicados a patologías frecuentes en Medicina Interna, Ginecología/Obstetricia y Pediatría. A partir de una revisión sistemática de la literatura, se evalúa el rendimiento, la validación y la utilidad clínica de estos modelos, destacando los principales enfoques metodológicos utilizados y su aplicación en distintos contextos asistenciales. Asimismo, se examinan los avances, limitaciones y desafíos asociados a su implementación, evidenciando el potencial de la inteligencia artificial como herramienta para mejorar la estratificación del riesgo y apoyar la toma de decisiones clínicas.
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