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Fig. 2 | Echo Research & Practice

Fig. 2

From: Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance

Fig. 2

Linear regression plots comparing the ML model to the reference standards. The intraclass correlation coefficient (ICC) for ML model LVEF and level III echocardiographer LVEF was 0.772 [0.501,1.000] and 0.778 [0.578,1.000] for randomized single videos by visual estimate and segmentation, respectively. The ICC for single video ML model LVEF and level III echocardiographer LVEF was 0.794 [0.173, 1.000] for visual assessment and 0.843 [0.310, 1.000] by segmentation when the expert was able to review all clips for a participant. The ICC for ML model LVEF and derived reported LVEF was 0.798 [0.143, 1.000]

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Echo Research & Practice

ISSN: 2055-0464

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