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|1. (WO2018222897) SMARTPHONE-BASED DIGITAL PUPILLOMETER|
|Applicants:||UNIVERSITY OF WASHINGTON
|Inventors:||MCGRATH, Lynn, B.
PATEL, Shwetak, N.
MARIAKAKIS, Alex, T.
|Title:||SMARTPHONE-BASED DIGITAL PUPILLOMETER|
In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.