Kosmos PLAX EF Pivotal Study

The purpose of this study is to validate the efficacy of Kosmos PLAX EF, an AI-assisted workflow that uses a cardiac ultrasound clip in Parasternal Long Axis (PLAX) cardiac view to calculate Left Ventricular Ejection Fraction (LVEF) using the Teichholz method. This study will compare the algorithm-generated measurements to measurements performed by hand by expert echocardiographers. The primary objectives of the study are to demonstrate that the algorithm measurements are statistically interchangeable with measurements from a reference standard derived from human expert readers. The primary hypotheses are that the algorithm measurements of left ventricular internal dimensions at 1) end-diastole (LVIDd) and 2) end-systole (LVIDs), respectively, will be statistically non-inferior to the reference standard. The secondary objective is to demonstrate that the algorithm-calculated LVEF is statistically interchangeable with the LVEF calculated by human readers. The secondary hypothesis is that the LVEF calculated from algorithm measurements will be statistically non-inferior to the reference standard. The study design involves the compilation of de-identified, retrospective PLAX-view clips acquired using the Kosmos diagnostic ultrasound system. This data was collected from two previous studies, and was not used in the training of the PLAX EF AI algorithm, or in the ECHO-300 PLAX EF pilot study.

Inclusion Criteria: * All data used in this study must have been collected per 45 CFR § 26, * Data must have been collected per source protocol requirements with no deviation for that data set, * Adequate demographic information available from original study participation (sex, BMI, ethnicity, and race), * PLAX acquisition performed by a qualified echocardiographer using the Kosmos system, and * At least one PLAX clip available. Exclusion Criteria: * Inadequate demographic information corresponding to the available data, and * Non-echocardiographer acquired images.