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This systematic review and meta-analysis evaluates the efficacy of artificial intelligence (AI) in predicting postoperative mortality in patients with congenital heart disease (CHD). AI models, particularly Extreme Gradient Boosting and Gradient Boosting Machine, demonstrated high predictive performance with pooled AUC values of 0.93 and 0.91, respectively, outperforming traditional risk stratification systems. The findings suggest that integrating AI into clinical workflows could enhance decision-making an

Author

Sandra Michela

Language

EN