The AI-powered app was able to accurately diagnose acute otitis media.

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The AI-powered app was able to accurately diagnose acute otitis media.

University of Pittsburgh in the USA,
Professor Alejandro Hoberman, from the University of Pittsburgh School of Medicine,
Researchers uploaded 921 videos to two different artificial intelligence models, to detect acute otitis media by examining features such as shape, location, color and transparency of the eardrum
stated that the newly developed artificial intelligence-supported phone application



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The AI-powered app was able to accurately diagnose acute otitis media.
Technology News
GOLAHURA
University of Pittsburgh in the USA
Professor Alejandro Hoberman
from the University of Pittsburgh School of Medicine
Researchers uploaded 921 videos to two different artificial intelligence models
to detect acute otitis media by examining features such as shape
location
transparency of the eardrum
stated that the newly developed artificial intelligence-supported phone application