Thanks to artificial intelligence, American researchers have transformed headsets into a medical diagnostic tool. By analyzing the resonance of an audio signal, they can detect ear plugs, ruptured eardrums and ear infections.
L’deep learning, or deep learningover the past ten years has enabled great advances in artificial intelligence (AI). Thanks to neural networks, it makes it possible to train algorithms for many tasks, such as facial recognition, machine translation, and even to diagnose certain diseases. And indeed, researchers from have developed an AI capable of checking the health of the ears.
The system was named(ear health) and works through in-ear headphones connected to a smartphone equipped with a platform . The headphones emit a chirp, or frequency ramp modulated pulse. The AI uses the built-in microphone to measure how this sound signal resonates in the ear canals and thus creates a profile of the unique geometry of the of the wearer.
Simple headphones to detect three medical conditions
The system will then issue chirps on a regular basis, for example once a day, to check that this profile has not changed. It is able to detect three conditions that modify the geometry of the auditory canals: aa rupture of the and an .
The researchers tested their system on 92 volunteers, consisting of 27 people without ear problems, 22 people with25 people suffering from otitis and finally 18 people with a plug of . The AI managed to correctly identify the conditions in 82.6% of cases. The next step will be to study how other factors, such as body hair or previous eardrum may influence these results.