This paper is in the following e-collection/theme issue:

Digital Health Reviews (1289) Machine Learning (1465) Hearing Impairment and Hearing Loss (67) ENT (Ear, Nose, Throat) (29) Development of Novel Medical Devices and Innovations for Existing Devices (80) Digital Health, Telehealth and e-Innovation in Clinical Settings (401)

Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32581, first published .
Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review

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

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

Authors of this article:

Jan-Willem Wasmann1 Author Orcid Image ;   Leontien Pragt1 Author Orcid Image ;   Robert Eikelboom2, 3, 4 Author Orcid Image ;   De Wet Swanepoel2, 3, 4 Author Orcid Image
Article Authors Cited by (29) Tweetations (24) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.