AI smartphone app shows promise in diagnosing ear infections in children

Mar 4 2024University of Pittsburgh A new cellphone app developed by physician-scientists at UPMC and the University of Pittsburgh, which uses artificial intelligence to accurately diagnose ear infections, or acute otitis media , could help decrease unnecessary antibiotic use in young children, according to new research published today in JAMA Pediatrics.

Alejandro Hoberman, M.D., senior author, professor of pediatrics and director of the Division of General Academic Pediatrics at Pitt's School of Medicine and president of UPMC Children's Community Pediatrics "The ear drum, or tympanic membrane, is a thin, flat piece of tissue that stretches across the ear canal," said Hoberman. "In AOM, the ear drum bulges like a bagel, leaving a central area of depression that resembles a bagel hole. In contrast, in children with otitis media with effusion, no bulging of the tympanic membrane is present."

"These findings suggest that our tool is more accurate than many clinicians," said Hoberman. "It could be a gamechanger in primary health care settings to support clinicians in stringently diagnosing AOM and guiding treatment decisions."

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