[ad_1]
New AI technology enables clinicians to distinguish between different cases of tinnitus and in treatment, saving clinicians time and effort.
Scientists at the Institute of Bionics in Melbourne, Australia, were able to use advanced medical AI technology to contribute to the treatment and discovery of tinnitus cases of varying degrees.
According to newscientist.com, Mehranaz Shushtarian, head of the medical team at the Australian Institute of Bionics, confirmed that new artificial intelligence technology has removed many of the burdens on physicians in terms of diagnosing injuries.
AI “artificial intelligence” algorithms will be an alternative to traditional diagnostic methods that used to rely on self-tests to detect infections, saving a lot of effort and time.
According to “Shushtarian,” traditional self-tests to diagnose tinnitus relied on a physician examining the head, ear, and neck areas, and expanded to include the patient sitting in a soundproof room with headphones through which specific sounds were played in one ear at a time.
However, through new technology, doctors will be able to identify cases with 78% accuracy, and artificial intelligence from AI will help them distinguish between mild, moderate and severe cases with 87% accuracy and in less time. .
Shushtarian indicated that the artificial intelligence experiment with artificial intelligence technology to discover cases of tinnitus was carried out in 46 people, 25 of whom suffer from chronic tinnitus, while the remaining 21 do not suffer from ordinary people.
Through a neuroimaging process, known as infrared spectroscopy, AI algorithms were able to measure blood flow and oxygen levels in specific areas of the brain after showing participants in the experiment auditory and visual stimuli and noise clips of 15 seconds.
The results showed that specialists were able to quickly and easily distinguish between people with tinnitus from uninfected people after noticing a lack of activity in the upper arm area for the injured, a brain region involved in visual processing. , compared to the uninfected.
Artificial intelligence algorithms, according to “Shushtarian,” also helped the researchers identify cases of tinnitus of varying severity among affected people who participated in the experiment. Those with more cases experienced decreased brain responses to visual and auditory stimuli, unlike those with mild tinnitus symptoms whose brains showed greater activity than subsequent communication between specific areas of the brain.
On the importance of new technology in treating cases of tinnitus, Shushtarian stressed that the capacity of artificial intelligence (AI), which has become evident in the precise distinction between mild, severe and moderate cases of tinnitus, will open the door for doctors to improve treatment of short-term cases, according to “Al Ain Al Akhbariya”. .
