RT Journal Article
SR Electronic
T1 Artificial intelligence to diagnose ear disease using otoscopic image analysis: a review
JF Journal of Investigative Medicine
JO J Investig Med
FD BMJ Publishing Group Ltd
SP 354
OP 362
DO 10.1136/jim-2021-001870
VO 70
IS 2
A1 Therese L Canares
A1 Weiyao Wang
A1 Mathias Unberath
A1 James H Clark
YR 2022
UL http://hw-f5-jim.highwire.org/content/70/2/354.abstract
AB AI relates broadly to the science of developing computer systems to imitate human intelligence, thus allowing for the automation of tasks that would otherwise necessitate human cognition. Such technology has increasingly demonstrated capacity to outperform humans for functions relating to image recognition. Given the current lack of cost-effective confirmatory testing, accurate diagnosis and subsequent management depend on visual detection of characteristic findings during otoscope examination. The aim of this manuscript is to perform a comprehensive literature review and evaluate the potential application of artificial intelligence for the diagnosis of ear disease from otoscopic image analysis.