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July 4, 2024Scientific ReportsOpen Access

Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence

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Authors

NKNobuyuki KagiyamaYAYukio AbeKKKenya Kusunose

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Cite This Study

Kagiyama et al. (2024) studied this question.

synapsesocial.com/papers/68e615d4b6db6435875a8241https://doi.org/10.1038/s41598-024-65557-5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Clinical validation of an artificial intelligence-assisted algorithm for automated quantification of left ventricular ejection fraction in real time by a novel handheld ultrasound device2022 · 38 citations
  2. 2Assessment of left ventricular ejection fraction in artificial intelligence based on left ventricular opacification2024 · 1 citations
  3. 3Left Ventricular Ejection Fraction Assessed by a General Practitioner Using AI-Guided Point-of-Care Ultrasonography: Feasibility and Diagnostic Agreement With Conventional Echocardiography2025
  4. 4Respect the septoapical region - deep learning enhanced estimation of left ventricular ejection fraction: application in transthoracic and point-of-care echocardiography2025
  5. 5The diagnostic accuracy of left ventricular ejection fraction assessment between visual and artificial intelligence-based algorithms on bedside ultrasound2026