Have you ever thought about being able to diagnose without leaving home? Researchers at the University of California, San Diego in the United States have developed a cell phone application that detects neurological problems using a selfie camera. Alzheimer’s.

The app, which is still in development, uses current technology in some newer cell phones with face recognition cameras. With the infrared detection device, along with the selfie camera, the app can take and measure users’ student photos.

The experimental app uses the front camera to detect neurological problemsSource: Shutterstock

Pupil measurement is an important diagnostic factor for neurological disorders, as well as being part of scales like Glasgow, which monitors students’ reaction to examine neurological damage, and the level of consciousness of patients who have suffered from coma or head trauma. .

Currently, specialized tests for early diagnosis of neurological problems are complex and difficult to access for a large segment of the population, but the development of this app provides an early opportunity to detect neurological conditions such as Alzheimer’s and Attention Deficit Hyperactivity Disorder (ADHD). ), With more practicality.

In addition to access, researchers are concerned about user awareness and accessibility for a wide variety of users. The first tests involve the participation of older people, who contribute feedback on how simple and intuitive it is, and in the next stages, researchers want to include people with mild cognitive disabilities to attest to their usefulness.

Experiments have shown that the app succeeds in examining papillary changes, reaching parameters close to the high-quality diagnostic tests used today. With these promising results, the researchers hope that this new technology will make it easier to diagnose neurological disorders, provide opportunities for early treatment, provide a better quality of life, and enable democratization of access to such examinations.

Article Conference on the Human Components of Computing Systems: doi.org/10.1145/3491102.3502493