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redefining medicine


concussion detection re-engineered 

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redefining medicine


concussion detection re-engineered 

This product has not been reviewed or cleared by the FDA and is not currently for sale in the US.

Crash Course - The App

Our first mobile application in development can detect concussions by measuring a response called "pupillary light reflex". Really, this is just a fancy way of saying we measure your pupil's diameter while we flash a light in front of it. Let's break down the process of how the app works: 

                 

  • You hold the camera up to the individual's eye.
  • Our algorithm will locate a pupil and display the active measurement on screen.
  • You start the test by tapping the screen.
  • We flash a light to initiate the pupil response.
  • We measure the latency, constriction rate, dilation rate, and recovery time.
  • The four variables will be processed and we will determine your risk of brain injury.

It is likely that you're already familiar with this type of test. Let's pose a scenario... You hit your head and start to feel dizzy so you go see a doctor. One of the first things they do is wave a flashlight in front of your face. They are looking at your pupillary light reflex but in a subjective way. What we do is make that subjective measurement objective.

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intelligent


frontier machine learning methods to give you quality healthcare

intelligent


frontier machine learning methods to give you quality healthcare

ARTIFICIALLY intelligent

You may have already asked yourself "how can a phone tell me if I have a concussion from flashing a light?". We use computer vision and machine learning to train our algorithms what a concussion looks like. In fact, it is artificial intelligence that makes the computer in your phone smart enough to do this. The current rate of missing a concussion is upwards of 84% and our sole mission is to fix this.

Whether you're an athlete, trainer, coach, doctor, or an average person we offer the only rapid solution to detect a concussion. In fact, the next fastest test for a concussion takes 800% longer than ours (with less accuracy and additional hardware). Additionally, our goal is for the final release of the application to be able to diagnose you. This has never been done with a consumer ready application.