L. R. Herda

Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives.

AI has the potential to substantially transform hypertension management by enabling more precise, proactive, and personalized care but major barriers to implementation include data heterogeneity, algorithmic bias, limited interpretability, insufficient external validation, infrastructure and cost requirements, regulatory uncertainty, and concerns regarding patient trust and data privacy.