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"AI Smartphone App Revolutionizes Ear Infection Diagnosis at UPMC"

1 min read
Source: JAMA Network
"AI Smartphone App Revolutionizes Ear Infection Diagnosis at UPMC"
Photo: JAMA Network
TL;DR

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:healthhealthcare-technology#acute-otitis-media#artificial-intelligence#diagnosis#healthcare-technology#neural-network#pediatric-care
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  1. Development and Validation of an Automated Classifier to Diagnose Acute Otitis Media  JAMA Network
  2. Diagnosing ear infections in children is difficult; a new AI tool at UPMC could help  TribLIVE
  3. New AI smartphone tool accurately diagnoses ear infections  Medical Xpress
  4. UPMC introduces new A.I. smartphone app to help doctors diagnose ear infections  Yahoo! Voices
  5. "Gamechanger" AI smartphone app developed in Pittsburgh can diagnose ear infections more accurately than many clinicians  CBS Pittsburgh

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