Predictive Performance of Artificial Intelligence Models for Stroke Risk Stratification: A Systematic Review and Meta-Analysis
Artificial intelligence-based models, particularly DL approaches, demonstrate favorable predictive performance for stroke risk stratification, however, considerable methodological heterogeneity, limited external validation, and risk of bias reduce confidence in widespread clinical implementation.