Artificial Intelligence Applications in Otology: A State of the Art Review.

Otolaryngology--head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery
Eunice YouMatthew G Crowson

Abstract

Recent advances in artificial intelligence (AI) are driving innovative new health care solutions. We aim to review the state of the art of AI in otology and provide a discussion of work underway, current limitations, and future directions. Two comprehensive databases, MEDLINE and EMBASE, were mined using a directed search strategy to identify all articles that applied AI to otology. An initial abstract and title screening was completed. Exclusion criteria included nonavailable abstract and full text, language, and nonrelevance. References of included studies and relevant review articles were cross-checked to identify additional studies. The database search identified 1374 articles. Abstract and title screening resulted in full-text retrieval of 96 articles. A total of N = 38 articles were retained. Applications of AI technologies involved the optimization of hearing aid technology (n = 5; 13% of all articles), speech enhancement technologies (n = 4; 11%), diagnosis and management of vestibular disorders (n = 11; 29%), prediction of sensorineural hearing loss outcomes (n = 9; 24%), interpretation of automatic brainstem responses (n = 5; 13%), and imaging modalities and image-processing techniques (n = 4; 10%). Publication counts...Continue Reading

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Citations

Dec 29, 2020·The Laryngoscope·Zebin WuQianhui Qiu
Apr 21, 2021·Otolaryngology--head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery·Taylor C StandifordJeffrey E Terrell
Oct 12, 2021·Global Spine Journal·GuanRui RenXiaoTao Wu
Mar 19, 2021·Pediatrics·Matthew G CrowsonMichael S Cohen
Dec 25, 2021·Assistive Technology : the Official Journal of RESNA·Sarah AbdiL P de Witte

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