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<p>Artificial intelligence (AI) and machine learning (ML) are reshaping echocardiography by automating image analysis, reducing variability, and enhancing diagnostic accuracy through tasks such as view classification, image segmentation, and outcome prediction. Key applications include left ventricular ejection fraction assessment and improved valvular disease diagnostics. Limitations include challenges with generalizability, interpretability, and integration into diverse clinical settings. This article provides a contemporary review of AI and ML applications in echocardiography.</p><p></p>

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Contemporary applications of artificial intelligence and machine learning in echocardiography

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月26日

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  • Nastaran Raissi-Dehkordi,
  • Negar Raissi-Dehkordi,
  • Bo Xu

摘要

Artificial intelligence (AI) and machine learning (ML) are reshaping echocardiography by automating image analysis, reducing variability, and enhancing diagnostic accuracy through tasks such as view classification, image segmentation, and outcome prediction. Key applications include left ventricular ejection fraction assessment and improved valvular disease diagnostics. Limitations include challenges with generalizability, interpretability, and integration into diverse clinical settings. This article provides a contemporary review of AI and ML applications in echocardiography.