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J. Otorhinolaryngol. Hear. Balance Med., Volume 3, Issue 4 (December 2022) – 2 articles

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12 pages, 3017 KiB  
Article
Early Identification of Hearing Loss and Language Development at 32 Months of Age
by Anne B. Harris, Elizabeth Seeliger, Christi Hess, Allison L. Sedey, Kayla Kristensen, Yen Lee and Winnie Chung
J. Otorhinolaryngol. Hear. Balance Med. 2022, 3(4), 8; https://doi.org/10.3390/ohbm3040008 - 24 Oct 2022
Viewed by 2208
Abstract
This study examines the relationship between the early identification of hearing loss and language outcomes for deaf/hard of hearing (D/HH) children, with bilateral or unilateral hearing loss and with or without additional disabilities. It was hypothesized that hearing loss identified by 3 months [...] Read more.
This study examines the relationship between the early identification of hearing loss and language outcomes for deaf/hard of hearing (D/HH) children, with bilateral or unilateral hearing loss and with or without additional disabilities. It was hypothesized that hearing loss identified by 3 months of age would be associated with better language outcomes. Using a prospective, longitudinal design, 86 families completed developmental instruments at two time points: at an average age of 14.8 months and an average age of 32.1 months. Multiple regression examined how hearing loss identified by 3 months of age contributed to later language outcomes while controlling for developmental level at the first time point. Hearing loss identified by 3 months of age was positively associated with better language outcomes for D/HH children at 32 months of age; however, D/HH children still exhibited language delays, compared to normative scores for same-aged hearing peers for reported measures. Language outcomes of children with unilateral hearing loss were not better than those of children with mild-to-moderate bilateral hearing loss. Children with additional disabilities and more severe bilateral hearing loss had lower language scores than those without. Full article
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13 pages, 1258 KiB  
Systematic Review
Machine Learning in the Management of Lateral Skull Base Tumors: A Systematic Review
by Kotaro Tsutsumi, Sina Soltanzadeh-Zarandi, Pooya Khosravi, Khodayar Goshtasbi, Hamid R. Djalilian and Mehdi Abouzari
J. Otorhinolaryngol. Hear. Balance Med. 2022, 3(4), 7; https://doi.org/10.3390/ohbm3040007 - 28 Sep 2022
Cited by 1 | Viewed by 2145
Abstract
The application of machine learning (ML) techniques to otolaryngology remains a topic of interest and prevalence in the literature, though no previous articles have summarized the current state of ML application to management and the diagnosis of lateral skull base (LSB) tumors. Subsequently, [...] Read more.
The application of machine learning (ML) techniques to otolaryngology remains a topic of interest and prevalence in the literature, though no previous articles have summarized the current state of ML application to management and the diagnosis of lateral skull base (LSB) tumors. Subsequently, we present a systematic overview of previous applications of ML techniques to the management of LSB tumors. Independent searches were conducted on PubMed and Web of Science between August 2020 and February 2021 to identify the literature pertaining to the use of ML techniques in LSB tumor surgery written in the English language. All articles were assessed in regard to their application task, ML methodology, and their outcomes. A total of 32 articles were examined. The number of articles involving applications of ML techniques to LSB tumor surgeries has significantly increased since the first article relevant to this field was published in 1994. The most commonly employed ML category was tree-based algorithms. Most articles were included in the category of surgical management (13; 40.6%), followed by those in disease classification (8; 25%). Overall, the application of ML techniques to the management of LSB tumor has evolved rapidly over the past two decades, and the anticipated growth in the future could significantly augment the surgical outcomes and management of LSB tumors. Full article
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