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Artificial Intelligence in Pediatric Cardiology: Present Applications and Future Directions
Bianca Ada Magnanini1, Irene Raso2, Sara Santacesaria2
1Centro Cardiologico Monzino IRCCS, Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy.
Pediatric Reports
|June 25, 2026
Summary
Artificial intelligence (AI) enhances pediatric cardiology by improving diagnostic accuracy in areas like electrocardiography and cardiac imaging. While challenges exist, AI offers a powerful tool for precision medicine in children
Area of Science:
- Cardiovascular Medicine
- Pediatric Cardiology
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly utilized in cardiovascular medicine.
- AI, including machine learning and deep learning, analyzes complex data for diagnosis and decision-making.
- Applications are rapidly growing in pediatric cardiology.
Purpose of the Study:
- To provide an overview of current AI applications in pediatric cardiology.
- To discuss existing challenges and explore future perspectives of AI in this field.
- To highlight AI's potential to improve pediatric cardiac care.
Main Methods:
- Review of current AI applications in pediatric cardiology.
- Analysis of AI's role in electrocardiography, cardiac auscultation, and multimodality imaging.
- Exploration of AI integration with emerging technologies like virtual reality.
Main Results:
- AI algorithms improve diagnostic accuracy in electrocardiography and cardiac auscultation.
- AI enhances multimodality cardiac imaging (echocardiography, MRI, CT) for standardized assessments.
- AI integrated with virtual reality offers novel tools for education and surgical planning.
Conclusions:
- AI is a powerful complementary tool in pediatric cardiology.
- AI has the potential to improve diagnostic accuracy and optimize healthcare resources.
- AI supports the transition towards precision medicine in pediatric cardiac care.
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