Artificial intelligence in the diagnosis and management of congenital heart disease in children: A 25-year bibliometric analysis - Takeaways - MDSpire

Artificial intelligence in the diagnosis and management of congenital heart disease in children: A 25-year bibliometric analysis

  • By

  • Yinmin Zhang

  • Yuting Lu

  • Xiong Qian

  • Shufeng Li

  • Yadan Yao

  • Shaomei Zhou

  • Taotao Ge

  • June 11, 2026

  • 0 min

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  • 1

    Congenital heart disease (CHD) affects over 4.18 million children under 5 globally, with a 3.4% increase since 1990.

  • 2

    Mortality and disability-adjusted life years related to CHD have decreased by over 55% since 1990 due to improved treatments.

  • 3

    AI has been gradually applied to pediatric CHD for over 20 years, resulting in a substantial body of literature.

  • 4

    The study aims to quantify AI research growth in pediatric CHD from 2000 to 2025 and identify key contributors in the field.

  • 5

    A systematic bibliometric analysis is necessary to bridge the gap between academic output and clinical implementation in low-resource settings.

Original Source(s)

Artificial intelligence in the diagnosis and management of congenital heart disease in children: A 25-year bibliometric analysis

  • by Yinmin Zhang, Yuting Lu, Xiong Qian, Shufeng Li, Yadan Yao, Shaomei Zhou, Taotao Ge

  • June 11, 2026

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