Modelos de inteligencia artificial para el diagnóstico de la insuficiencia cardíaca: una revisión sistemática de la literatura
DOI:
https://doi.org/10.37135/ee.04.26.09Palabras clave:
inteligencia artificial, insuficiencia cardíaca, Insuficiencia Cardíaca Diastólica, Insuficiencia Cardíaca SistólicaResumen
La inteligencia artificial (IA) puede contribuir al diagnóstico temprano de insuficiencia cardíaca (IC). Esta revisión sistemática evaluó la precisión diagnóstica de modelos de IA aplicados al ECG y VFC para detectar insuficiencia cardiaca y disfunción ventricular izquierda (LVSD). Se reviso publicaciones entre 2011 y 2023, siguiendo la declaración PRISMA. La certeza de la evidencia y el riesgo de sesgo se evaluaron utilizando las herramientas GRADE y STROBE. Se obtuvieron 2332 resultados, posterior al cribado, se incluyeron 14 estudios. La sensibilidad combinada total fue del 98,30 % y la especificidad del 96,99 %. La inteligencia artificial aplicada al análisis de ECG y VFC ofrece una herramienta diagnóstica precisa y potencialmente útil para el cribado y la detección temprana de la insuficiencia cardíaca. Si bien los resultados fueron alentadores, se requiere mayor validación externa, estandarización metodológica y estudios prospectivos en entornos clínicos reales para garantizar la generalización y fiabilidad de estos algoritmos.
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Derechos de autor 2026 Revista Eugenio Espejo
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
