Superior reproducibility and repeatability in automated quantitative pupillometry compared to standard manual assessment, and quantitative pupillary response parameters present high reliability in critically ill cardiac patients.

Benjamin C NyholmLaust OblingChristian HassagerJohannes GrandJacob MøllerMarwan OthmanDaniel KondziellaJesper Kjaergaard

Published in: PloS one (2022)

Automated quantitative pupillometry has excellent reliability and twice the reproducibility and repeatability than manual pupillometry. This study further presents novel estimates of variability for all quantitative pupillary response parameters with excellent reliability.

Keyphrases

high resolution
end stage renal disease
machine learning
deep learning
high throughput
chronic kidney disease
ejection fraction
left ventricular
prognostic factors
patient reported outcomes