An artificial-intelligence model was shown to be significantly more accurate than doctors at diagnosing pediatric ear infections in the first head-to-head evaluation of its kind. The tool, called ...

Leveraging machine learning and cutting-edge imaging, USC students and otolaryngology professor pioneer new methods for detecting middle ear diseases University of Southern California Understanding ...

Middle-ear infections caused by Gram-negative bacteria remain among the most common pediatric illnesses worldwide. When the eustachian tube-responsible for balancing pressure and clearing mucus-fails ...

An artificial-intelligence (AI) model built at Mass Eye and Ear was shown to be significantly more accurate than doctors at diagnosing pediatric ear infections in the first head-to-head evaluation of ...