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Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review.

Jan-Willem WasmannLeontien PragtRobert H EikelboomDe Wet Swanapoel
Published in: Journal of medical Internet research (2022)
In the past 10 years, an increasing number of automated approaches have reported similar accuracy, reliability, and time efficiency as manual hearing assessments. New developments, including machine learning approaches, offer features, versatility, and cost-effectiveness beyond manual audiometry. Used within identified limitations, automated assessments using digital devices can support task-shifting, self-care, telehealth, and clinical care pathways.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • big data
  • high throughput
  • healthcare
  • palliative care
  • hearing loss
  • affordable care act