"AI Smartphone App Revolutionizes Ear Infection Diagnosis at UPMC"
TL;DR Summary
A study developed an artificial intelligence decision-support tool to interpret videos of the tympanic membrane, achieving a sensitivity of 93.8% and specificity of 93.5% in diagnosing acute otitis media in children. The tool, trained using deep residual-recurrent neural networks, could enhance accuracy in primary care settings and aid in treatment decisions, potentially transforming otoscopy in pediatric care.
Topics:health#acute-otitis-media#artificial-intelligence#diagnosis#healthcare-technology#neural-network#pediatric-care
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- "Gamechanger" AI smartphone app developed in Pittsburgh can diagnose ear infections more accurately than many clinicians CBS Pittsburgh
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