Artificial intelligence diagnoses ear infection! Successful from doctor

Artificial intelligence continues to be included in our lives day by day. The wind of artificial intelligence, which has increased its influence with ChatGPT, especially in the last two years, has also mobilized scientists. Accordingly, scientists have developed an application that diagnoses ear infections with artificial intelligence.

Application and features that diagnose ear infection with artificial intelligence

University of Pittsburgh scientists have developed a smartphone application that can diagnose ear infections. This application offers the ability to diagnose images obtained from inside the ear with artificial intelligence. Acute otitis media (AOM) is one of the most common diseases for which antibiotics are prescribed in children. However, diagnosis of this disease requires expertise.

AOM, which even specialist doctors confuse with a normal ear infection, causes children to take unnecessary antibiotics. According to research, 70 percent of children are diagnosed with AOM before they turn one year old.

Researchers have developed an application that uses artificial intelligence for the diagnosis of AOM, which requires expertise. First, researchers obtained 1,135 eardrum videos from 635 children treated for AOM. Researchers annotated these diseased eardrum videos and trained artificial intelligence on AOM. Experts also showed similar cases of acute otitis media with videos and trained artificial intelligence.

Researchers who trained artificial intelligence on acute otitis media also trained artificial intelligence on the structure and anatomy of the eardrum. After this training, artificial intelligence diagnosed acute middle ear infection and managed to make a correct diagnosis of 93 percent.

The interesting thing is that although the artificial intelligence diagnosis of AOM is at 93 percent, this rate varies between 30 percent and 84 percent among doctors. In short, the trained artificial intelligence gave a more accurate result than the doctor for ear infection.

Of course, it is not right to declare that artificial intelligence is a doctor. Researchers say that with this application, artificial intelligence will help doctors diagnose ear infections. Thus, the chance of earlier and more accurate diagnosis will increase for acute otitis media treatments.

Do you think artificial intelligence can really replace professions such as doctors? We are waiting your comments.