Otoscopic diagnosis using computer vision: An automated machine learning approach.
Journal:
The Laryngoscope
Published Date:
Sep 18, 2019
Abstract
OBJECTIVE: Access to otolaryngology is limited by lengthy wait lists and lack of specialists, especially in rural and remote areas. The objective of this study was to use an automated machine learning approach to build a computer vision algorithm for otoscopic diagnosis capable of greater accuracy than trained physicians. This algorithm could be used by primary care providers to facilitate timely referral, triage, and effective treatment.