Artificial intelligence technology in aortic valve disease: a decade of scientometric and narrative review - Takeaways - MDSpire

Artificial intelligence technology in aortic valve disease: a decade of scientometric and narrative review

  • By

  • Peng Hei

  • He Ren

  • Wenshuai Ma

  • Wei Fang

  • Yan Li

  • July 9, 2026

  • 0 min

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  • 1

    Aortic valve disease, especially aortic stenosis, is increasingly prevalent in aging populations, presenting a significant global health burden.

  • 2

    The study analyzed 270 articles on AI applications in aortic valve disease, revealing a steady increase in annual publications.

  • 3

    The United States was identified as the leading country in research output and influence, with the Mayo Clinic being the most prolific institution.

  • 4

    Research hotspots included AI-assisted diagnosis, risk stratification, and prognosis prediction, primarily utilizing deep learning and machine learning.

  • 5

    Co-citation analysis highlighted significant studies on AI-enhanced electrocardiography and echocardiography for detecting valve disease.

Original Source(s)

Artificial intelligence technology in aortic valve disease: a decade of scientometric and narrative review

  • by Peng Hei, He Ren, Wenshuai Ma, Wei Fang, Yan Li

  • July 9, 2026

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