Publications by authors named "Zuwei Cao"

Background: Deafness autosomal dominant 2A (DFNA2A) is related to non-syndromic genetic hearing impairment. The KCNQ4 (Potassium Voltage-Gated Channel Subfamily Q Member 4) can lead to DFNA2A. In this study, we report a case of autosomal dominant non-syndromic hearing loss with six family members as caused by a novel variant in the KCNQ4 gene.

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This paper proposes a functionally reconfigurable integrated structure of a Fabry-Perot (FP) antenna and wideband liquid absorber. First, a two-layer partial reflecting surface (PRS) has been designed. Then, a patch antenna is used to act as the source antenna.

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Article Synopsis
  • * Results show significant improvements in hearing thresholds and functional gain at 2.0 kHz compared to other frequencies, especially in patients with certain conditions like aural atresia.
  • * The acceptance of CC-HAs correlates with the condition of the ear canal and hearing loss severity, with a strong preference among those with aural atresia; further studies are needed to explore the psychological impact of these devices.
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Autoimmune diseases may cause various kinds of conflicts in and outside the target organ, and some evidence brings forward the suggestion that autoimmune diseases may damage the auditory nerve and cause sensorineural hearing loss. However, this relationship is not clearly defined yet. Therefore, the aim of this study was to assess sensorineural hearing loss in autoimmune diseases through systematic review and metaanalysis.

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Objective: To systematically evaluate the development of Machine Learning (ML) models and compare their diagnostic accuracy for the classification of Middle Ear Disorders (MED) using Tympanic Membrane (TM) images.

Methods: PubMed, EMBASE, CINAHL, and CENTRAL were searched up until November 30, 2021. Studies on the development of ML approaches for diagnosing MED using TM images were selected according to the inclusion criteria.

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Purpose: Noise-induced hearing loss (NIHL) is a global issue that impacts people's life and health. The current review aims to clarify the contributions and limitations of applying machine learning (ML) to predict NIHL by analyzing the performance of different ML techniques and the procedure of model construction.

Methods: The authors searched PubMed, EMBASE and Scopus on November 26, 2020.

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Tinnitus refers to the perception of sound in the absence of an external stimulus. This can be problematic and can lead to health problems in some sufferers, including effects on cognitive functions such as attention and memory. Although several studies have examined the effectiveness of tinnitus interventions, e.

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Background: It is generally accepted that intratympanic injection provides an effective approach to manage severe vertigo in Ménière's disease. Although there are several medications available, that which is the most effective is still subject to debate.

Objective: To assess the effectiveness and safety of the different medications used in the treatment of Ménière's disease by intratympanic injection using a network meta-analysis.

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To investigate whether acoustic neuroma is associated with noise. PubMed, Cochrane, Embase and CINAHL databases were searched. A meta-analysis was performed to calculate odds ratio (OR) and 95% confidence interval (CI) using quality-effect models.

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Objective: To investigate the value of the Tinnitus Evaluation Questionnaire (TEQ) in clinical application.

Methods: Cronbach's α coefficient was used to examine the reliability of the TEQ internal consistency. Examined the re-measured reliability by the correlation coefficient by two doctors' 1 - 3 hours interval questionnaires' scores.

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