Quantification of Left Ventricular Ejection Fraction

The machine learning algorithm is adapted for echocardiographic views commonly used in the point-of-care (POC) setting. This allows for automated evaluation of Left Ventricle (LV) Ejection Fraction and, specifically, detection of LV dysfunction with accuracy similar to that of visual interpretation by experienced imaging cardiologists. Driven by the growing availability of handheld imaging devices, this technology is likely to enable more health care personnel to confidently perform and interpret bedside cardiac ultrasound examinations.