Announcing smartphone application to detect brain damage

Through pupil-stimulating flash and video recordings from cameras on smartphones, PupilScreen, a smartphone application, can detect brain damage caused by head injuries.

At the recent Ubicomp 2017 event, researchers at the University of Washington (UW) said that developing the first application on a smartphone, called PupilScreen , could detect changes through response. of pupil with light from smartphone camera.

PupilSceen is considered an artificial intelligence.

The flash on the smartphone will stimulate the patient's eyes and the phone's camera will record these images for a period of 3 seconds. These videos will be processed by algorithms to identify pixels from pupils in each frame and measure changes in pupil size. Through the PupilScreen application, scientists can determine the light response from a patient's pupil as a pupil measuring device used in hospitals at a high cost.

PupilSceen is considered an artificial intelligence that can quantify changes that cannot be seen with the naked eye. According to research results on 48 brain injury patients and some healthy people, doctors were able to diagnose brain damage almost perfectly through the use of the PupilScreen application.

According to the plan, a clinical study with the PupilScreen application will be implemented later this year for coaches and doctors to collect additional data on the pupil reaction characteristics for schools. Injured. Thereby, UW scientists, engineers and medical researchers hope to release a commercial version of PupilScreen in the next two years.

According to data from the US Centers for Disease Control and Prevention (CDC), in the United States, it is estimated that about half of the 3.8 million cases of traumatic injuries are caused each year by sports injuries and every year. not diagnosed promptly. Therefore, the successful development of PupilScreen application will be good news for the US medical industry and the world in diagnosing brain damage.