Publication Name	World Journal of Clinical Pediatrics
Manuscript ID	105926
Country	India

Category	Pediatrics
Manuscript Type	Minireviews
Article Title	Role of artificial intelligence in congenital heart disease
Manuscript Source	Invited Manuscript
All Author List	Subhrashis Guha Niyogi, Deb Sanjay Nag, Mandar Mahavir Shah, Amlan Swain, Chandrima Naskar, Preeti Srivastava and Ravi Kant
Funding Agency and Grant Number
Corresponding Author	Deb Sanjay Nag, Department of Anaesthesiology, Tata Main Hospital, C Road West, Northern Town, Bistupur, Jamshedpur 831001, Jharkhand, India. ds.nag@tatasteel.com
Key Words	Diagnosis; Echocardiography; Artificial intelligence; Congenital abnormalities; Heart diseases
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.
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; In press

Received	2025-02-11 05:46
Peer-Review Started	2025-02-11 05:46
To Make the First Decision
Return for Revision	2025-03-19 09:35
Revised	2025-04-08 12:44
Second Decision	2025-05-07 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-05-07 12:39
Articles in Press	2025-05-07 12:39
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ISSN	2219-2808 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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