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Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta-Analysis.
Laryngoscope. 2023 Apr;133(4):732-741. doi: 10.1002/lary.30291. Epub 2022 Jul 18.
Laryngoscope. 2023.
PMID: 35848851
Review.
Contributions and limitations of using machine learning to predict noise-induced hearing loss.
Chen F, Cao Z, Grais EM, Zhao F.
Chen F, et al. Among authors: grais em.
Int Arch Occup Environ Health. 2021 Jul;94(5):1097-1111. doi: 10.1007/s00420-020-01648-w. Epub 2021 Jan 25.
Int Arch Occup Environ Health. 2021.
PMID: 33491101
Free PMC article.
Review.
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Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning.
Grais EM, Wang X, Wang J, Zhao F, Jiang W, Cai Y, Zhang L, Lin Q, Yang H.
Grais EM, et al.
Sci Rep. 2021 May 20;11(1):10643. doi: 10.1038/s41598-021-89588-4.
Sci Rep. 2021.
PMID: 34017019
Free PMC article.
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Three-dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndrome.
Zhang L, Wang J, Grais EM, Li Y, Zhao F.
Zhang L, et al. Among authors: grais em.
Laryngoscope Investig Otolaryngol. 2022 Dec 10;8(1):236-244. doi: 10.1002/lio2.988. eCollection 2023 Feb.
Laryngoscope Investig Otolaryngol. 2022.
PMID: 36846429
Free PMC article.
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