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Use of Two Intracorporeal Ventricular Assist Devices As a Total Artificial Heart
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Left Ventricular Ejection Fraction Reporting Variability and AI-Assisted Reproducibility: A Multicentre Analysis.

Yinghui Le1, Jiali Zhou1, Shuna Yang1

  • 1Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

The Canadian Journal of Cardiology
|February 12, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) significantly improves the efficiency and reproducibility of left ventricular ejection fraction (LVEF) assessment in cardiac MRI. While individual variations exist, AI is a valuable tool for streamlining CMR quantification.

Keywords:
Cardiovascular magnetic resonanceartificial intelligenceleft ventricular ejection fractionreliabilityreproducibility

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly used for left ventricular ejection fraction (LVEF) assessment in clinical practice.
  • Real-world, multicenter validation of AI-assisted LVEF assessment is crucial.

Purpose of the Study:

  • To evaluate the reliability and reproducibility of AI-assisted LVEF assessment.
  • To compare AI-assisted LVEF assessment with manual methods in a diverse, multicenter setting.

Main Methods:

  • Retrospective multicenter study of 354 cardiac MRI (CMR) examinations.
  • Comparison of AI-derived LVEF (R-LVEF) with manual reassessment (M-LVEF) using QMass 8.1.
  • Inter-observer and intra-observer reproducibility analysis of manual and AI-assisted modes.

Main Results:

  • Good to excellent consistency (ICC≥0.86) between R-LVEF and M-LVEF, with limits of agreement exceeding ±5%.
  • AI-assisted assessment significantly reduced LVEF calculation time.
  • Superior reproducibility with AI-assisted methods compared to manual analysis (higher inter-observer ICC, greater intra-observer reproducibility).

Conclusions:

  • AI-assisted LVEF assessment demonstrates significant advantages in efficiency and reproducibility.
  • Despite individual differences, AI is a valuable tool for facilitating CMR quantification.
  • AI enhances the clinical utility of cardiac MRI for LVEF determination.