Artificial Intelligence in Cardiology: Early Diagnosis and Improved Treatment

Cardiovascular diseases are the leading global cause of mortality. Artificial Intelligence (AI) offers a potential solution to diagnostic challenges, especially in resource-limited settings. In Morocco, AI integration offers a promising solution to bridge healthcare disparities and expand specialized cardiac care to remote regions. A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines using PubMed, Scopus, and Web of Science. Twenty studies were analyzed, comparing AI-based approaches to standard care in triage, electrocardiography (ECG), imaging, and therapeutics. AI improved diagnostic performance, enhanced detection of silent conditions, and reduced inter-observer variability in ECG and imaging. It also showed potential in optimizing therapeutic decisions. However, generalizability is limited by methodological heterogeneity, a lack of multi-center trials, and insufficient data on hard clinical outcomes like mortality. Routine implementation depends on future prospective studies, more representative datasets, upgraded digital infrastructure, and established ethical and regulatory frameworks.