Machine learning-based prediction of the outcomes of cochlear implantation in patients with inner ear malformation-Reference-Cited by-同舟云学术

Machine learning-based prediction of the outcomes of cochlear implantation in patients with inner ear malformation

Published:2024-02-14 Issue:7 Volume:281 Page:3535-3545
ISSN:0937-4477
Container-title:European Archives of Oto-Rhino-Laryngology
language:en
Short-container-title:Eur Arch Otorhinolaryngol

Author:

Weng Jiuling,Xue Shujin,Wei Xingmei,Lu Simeng,Xie Jin,Kong Ying,Shen Mengya,Chen Biao,Chen Jingyuan,Zou Xinyue,Zhang Xinyi,Gao Zhencheng,Liu Ping,Shi Ying,Cui Danmo,Li Yongxin,Wang Haihui^ORCID

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00405-024-08463-w.pdf

Reference12 articles.

1. Sennaroglu L (2010) Cochlear implantation in inner ear malformations—a review article. Cochlear Implants Int 11(1):4–41

2. Lemmerling MM, Mancuso AA, Antonelli PJ et al (1997) Normal modiolus: CT appearance in patients with a large vestibular aqueduct. Radiology 204(1):213–219

3. Sennaroglu L, Bajin MD (2017) Classification and current management of inner ear malformations. Balkan Med J 34(5):397–411

4. Bianchin G, Polizzi V, Formigoni P et al (2016) Cerebrospinal fluid leak in cochlear implantation: enlarged cochlear versus enlarged vestibular aqueduct (common cavity excluded). Int J Otolaryngol 2016:6591684

5. Cabbarzade C, Sennaroglu L, Suslu N (2015) CSF gusher in cochlear implantation: the risk of missing CT evidence of a cochlear base defect in the presence of otherwise normal cochlear anatomy. Cochlear Implants Int 16(4):233–236

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1. Trends in research on cochlear implantation with inner ear malformation: a bibliometric and visualization analysis from 1986 to 2024;European Archives of Oto-Rhino-Laryngology;2024-07-08