Validation of a Smartphone Pupillometry Application in Diagnosing Severe Traumatic Brain Injury

February 21, 2019

The way our pupils respond to light can reveal a lot about our brain’s health, especially after a traumatic brain injury (TBI). This study explored the potential of PupilScreen, a groundbreaking smartphone app, to detect severe TBI using just a phone camera. The app’s performance was compared to the industry gold standard, the NeurOptics pupillometer (NPi-200).

Data from 230 recordings showed that PupilScreen, powered by advanced machine learning, could accurately classify individuals with severe TBI versus healthy ones. The app achieved an impressive 87% accuracy—outperforming the traditional NPi-200 device, which showed significantly lower results in similar tests. By analyzing key pupil responses like how fast they constrict and dilate, PupilScreen delivered results that were not only fast but also highly reliable.

These findings highlight the incredible potential of using smartphone technology for medical diagnostics, opening the door to more accessible and affordable tools for TBI detection and beyond. PupilScreen is paving the way for a new era in brain health assessment

Read more here:
https://pubmed.ncbi.nlm.nih.gov/37464770/