A novel smartphone app was shown to diagnose vestibular stroke symptoms via tracked eye movements in healthy volunteers with an accuracy similar to current clinical standard devices, researchers reported.
The app, “EyePhone,” which leverages the embedded facial recognition capabilities of the iPhone’s front camera, still needs to be tested in a real-world population and in emergency settings; however, researchers said the proof-of-concept study shows the technology could potentially reduce barriers to an accurate diagnosis for a common type of stroke that is easily