Why the study?
Can deep neural networks automate the recognition of regional wall motion abnormalities in echocardiographic examinations?
Can deep neural networks automate the recognition of regional wall motion abnormalities in echocardiographic examinations?
Deep neural networks demonstrate feasibility for the automated recognition of regional wall motion abnormalities in echocardiography.
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May accelerate AI-assisted echocardiography; leaves open need for prospective validation before clinical use.
In echocardiographic examinations of sufficient image quality, it is feasible for deep neural networks to automate the recognition of regional wall motion abnormalities using temporal and spatial information from moving images. Further investigation is required to optimize model performance and evaluate clinical applications.
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Huang et al. (2020) studied this question.
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