Role of artificial intelligence in congenital heart disease

Core Tip

Core Tip: Artificial intelligence (AI) offers transformative potential for congenital heart disease (CHD) care, affecting diagnosis, management, and long-term monitoring. This study explores the multifaceted applications of AI across the journey of patients with CHD, highlighting key advancements and critical challenges. Prenatally, AI-enhanced fetal echocardiography and genetic testing promise earlier and more accurate diagnosis, allowing for timely intervention. Postnatally, AI-driven image analysis accelerates diagnosis, and advanced signal processing improves hemodynamic assessment. AI-driven decision support systems tailor treatment strategies based on individual patient characteristics. Long-term care benefits from AI-enabled remote monitoring and wearable technologies, facilitating proactive management and early detection of complications. However, realizing the full potential of AI in CHD requires addressing significant limitations. The development of robust, standardized datasets is crucial for training reliable AI models. Furthermore, ensuring the transparency and explainability of AI algorithms is essential for building trust and accountability. Ethical considerations, including data privacy, bias mitigation, and equitable access, must be carefully addressed. Finally, the seamless integration of AI tools into existing clinical workflows is vital for practical implementation and widespread acceptance. Addressing these challenges will pave the way for AI to revolutionize CHD care, achieve better outcomes, and improve the lives of patients and their families.