PupilScreen aims to allow parents, coaches, medics to detect concussion, brain injuries with a smartphone
University of Washington researchers are developing the first smartphone app that is capable of objectively detecting concussion and other traumatic brain injuries in the field: on the sidelines of a sports game, on a battlefield or in the home of an elderly person prone to falls.
PupilScreen can detect changes in a pupil’s response to light using a smartphone’s video camera and deep learning tools — a type of artificial intelligence — that can quantify changes imperceptible to the human eye.
This pupillary light reflex has long been used to assess whether a patient has severe traumatic brain injury, and recent research finds it can be useful in detecting milder concussions — opening up an entirely new avenue for screening.
Click here to read more.
18th Congress of International Society of Craniofacial Surgery
Sept. 16-19, 2019; Paris
2019 Neuroscience and Psychiatry Conference
Sept. 19-20, 2019; Singapore
2019 Managing Coding and Reimbursement Challenges
Sept. 19-21, 2019; Austin, Texas