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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
Table 1 Role of artificial intelligence in congenital heart disease
Topic
Specific issue
Description
Prenatal diagnosis & risk stratificationEnhanced fetal echocardiography using AIImproved accuracy and efficiency in detecting CHD prenatally
AI-powered genetic testingMore precise identification of genetic predispositions to CHD
Postnatal diagnosis & managementAI-driven diagnostic imaging analysisFaster and more accurate identification of CHD subtypes and severity
Advanced signal processingMore precise assessment of hemodynamic parameters
AI-powered decision support systemsPersonalized treatment strategies based on individual patient data
Long-term care & monitoringAI-enabled remote monitoringContinuous surveillance for early detection of complications
Wearable technologyContinuous data collection and transmission for proactive management
Challenges & limitationsNeed for standardized datasetsLack of large, high-quality datasets hinders AI model development
Development of transparent and explainable AI algorithmsEnsuring trustworthiness and accountability of AI systems
Ethical considerationsAddressing issues of data privacy, bias, and equitable access
Seamless integration into clinical workflowsEfficient incorporation of AI tools into existing healthcare practices