Copyright
©The Author(s) 2025.
World J Clin Pediatr. Sep 9, 2025; 14(3): 105926
Published online Sep 9, 2025. doi: 10.5409/wjcp.v14.i3.105926
Published online Sep 9, 2025. doi: 10.5409/wjcp.v14.i3.105926
Table 1 Role of artificial intelligence in congenital heart disease
Topic | Specific issue | Description |
Prenatal diagnosis & risk stratification | Enhanced fetal echocardiography using AI | Improved accuracy and efficiency in detecting CHD prenatally |
AI-powered genetic testing | More precise identification of genetic predispositions to CHD | |
Postnatal diagnosis & management | AI-driven diagnostic imaging analysis | Faster and more accurate identification of CHD subtypes and severity |
Advanced signal processing | More precise assessment of hemodynamic parameters | |
AI-powered decision support systems | Personalized treatment strategies based on individual patient data | |
Long-term care & monitoring | AI-enabled remote monitoring | Continuous surveillance for early detection of complications |
Wearable technology | Continuous data collection and transmission for proactive management | |
Challenges & limitations | Need for standardized datasets | Lack of large, high-quality datasets hinders AI model development |
Development of transparent and explainable AI algorithms | Ensuring trustworthiness and accountability of AI systems | |
Ethical considerations | Addressing issues of data privacy, bias, and equitable access | |
Seamless integration into clinical workflows | Efficient incorporation of AI tools into existing healthcare practices |
- Citation: Niyogi SG, Nag DS, Shah MM, Swain A, Naskar C, Srivastava P, Kant R. Role of artificial intelligence in congenital heart disease. World J Clin Pediatr 2025; 14(3): 105926
- URL: https://www.wjgnet.com/2219-2808/full/v14/i3/105926.htm
- DOI: https://dx.doi.org/10.5409/wjcp.v14.i3.105926