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thickness.In a recent publication, the automated border detection technique was reproducible and comparable to manual tracings of endocardial contours concerning the calculation of 2D ejection fraction, LV volumes, and global longitudinal strain. 4Using handheld ultrasound devices equipped with AI hospitalized patients suffering from coronavirus disease 2019 (COVID-19), an agreement with conventional methods was demonstrated. 5AI-guided assessment of left ventricular outflow tract velocity time integral (LVOT-VTI), inferior vena cava collapsibility index (IVC-CI), and B-lines counting were reliable and consistent with manual assessment in COVID-19 patients even by relative novices. 6AI-aided techniques not only reduce the workload of sonographers and cardiologists but also minimize human error. Image EnhancementArtificial intelligence (AI) can enhance echocardiographic images by reducing noise, improving contrast, and clarifying details.This results in higher image quality and better diagnostic accuracy, especially in challenging cases.
Muralidhar Kanchi (2024) studied this question.