Abstract
Congenital heart disease (CHD) remains one of the most complex challenges in cardiology and cardiac surgery due to high anatomical variability, diagnostic complexity, and the need for long-term management. The adoption of artificial intelligence (AI) in clinical CHD practice is still limited. AI offers opportunities to improve diagnostic accuracy, risk stratification, outcome prediction, and surgical planning at all stages – from prenatal screening to adult follow-up. This review summarizes current applications of AI in CHD, including medical imaging, electrocardiography, acoustic data, and genetic analysis. Despite existing barriers, growing evidence demonstrates the high potential of AI for clinical integration and improving the quality of care.
About the authors
- Olga Yu. Timofeeva, Postgraduate Researcher, Cardiovascular Surgeon; ORCID
- Tigran R. Grigoryants, Cand. Med. Sci., Senior Researcher, Cardiovascular Surgeon; ORCID
- Aleksey I. Kim, Dr. Med. Sci., Professor, Head of Department; ORCID
