Artificial intelligence in the diagnosis and management of congenital heart disease in children: A 25-year bibliometric analysis - Scorecard - 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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Clinical Scorecard: The Role of Artificial Intelligence in Diagnosing and Managing Pediatric Congenital Heart Disease: A Comprehensive Bibliometric Review Over 25 Years

At a Glance

CategoryDetail
Condition
Key MechanismsAI applications in diagnosis and management of CHD should be directly cited.
Target Population
Care Setting

Key Highlights

  • Remove unsupported claims about AI's impact on diagnosis and risk assessments.

Guideline-Based Recommendations

Diagnosis

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Management

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Children with congenital heart disease

        AI applications can assist in understanding imaging and risk personalization

        Clinical Best Practices

        • Remove editorial language and ensure practices are sourced.

        Related Resources & Content

        Original Source(s)

        Related Content