Key result
Artificial intelligence and deep learning models demonstrate significant potential in improving the early detection, diagnosis, and risk stratification of cardiovascular diseases.
Design
Review
Authors
Loading...
AI may ease clinician burden in CVD detection; leaves open need for prospective outcome validation.
Artificial intelligence and deep learning models applied to routine clinical data like ECGs can significantly improve the early detection and screening of cardiovascular diseases, potentially reducing clinician burden.
Ahmad et al. (2025) conducted a review in Cardiovascular diseases. Artificial Intelligence vs. Traditional diagnostic methods was evaluated. Artificial intelligence and deep learning models demonstrate significant potential in improving the early detection, diagnosis, and risk stratification of cardiovascular diseases.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: