Artificial intelligence and tele-otoscopy: A window into the future of pediatric otology.
Artificial intelligence
Machine learning
Otoscopy
Remote
Telehealth
Journal
International journal of pediatric otorhinolaryngology
ISSN: 1872-8464
Titre abrégé: Int J Pediatr Otorhinolaryngol
Pays: Ireland
ID NLM: 8003603
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
received:
04
07
2021
revised:
30
06
2022
accepted:
01
07
2022
pubmed:
12
7
2022
medline:
17
8
2022
entrez:
11
7
2022
Statut:
ppublish
Résumé
Telehealth in otolaryngology is gaining popularity as a potential tool for increased access for rural populations, decreased specialist wait times, and overall savings to the healthcare system. The adoption of telehealth has been dramatically increased by the COVID-19 pandemic limiting patients' physical access to hospitals and clinics. One of the key challenges to telehealth in general otolaryngology and otology specifically is the limited physical examination possible on the ear canal and middle ear. This is compounded in pediatric populations who commonly present with middle ear pathologies which can be challenging to diagnose even in the clinic. To address this need, various otoscopes have been designed to allow patients, their parents, or primary care providers to image the tympanic membrane and middle ear, and send data to otolaryngologists for review. Furthermore, the ability of these devices to capture images in digital format has opened the possibility of using artificial intelligence for quick and reliable diagnostic workup. In this manuscript, we provide a concise review of the literature regarding the efficacy of remote otoscopy, as well as recent efforts on the use of artificial intelligence in aiding otologic diagnoses.
Identifiants
pubmed: 35816971
pii: S0165-5876(22)00190-2
doi: 10.1016/j.ijporl.2022.111229
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
111229Informations de copyright
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