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Fei Zhao

Professor in Hearing Science and Audiology

Cardiff University

United Kingdom

Research Interests

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About

Fei Zhao is a Professor in Hearing Science and Audiology at Cardiff Metropolitan University in the UK. His research areas include machine learning applications in audiology, tinnitus assessment, and advancements in diagnostic evaluations for hearing disorders. Notable recent articles explore topics such as vertigo detection, brain changes in tinnitus patients, and pediatric audiological assessments.

Articles (22)

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2021

Collaborators (6)

Sinyoung Lee

Assistant Professor

Osaka University

JAPAN

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Richard Salvi

Research Professor

University of Central Florida

UNITED STATES

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Robert Mayr

Cardiff University

UNITED KINGDOM

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Deborah Hall

Professor of Positive Psychology

Heriot-Watt University

UNITED KINGDOM

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Yvonne Wren

Academic , Professor of Speech and Communication

University of Bristol

UNITED KINGDOM

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Tariq Rahim

Senior Lecturer

Kingston University

UNITED KINGDOM

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Fei Zhao

Research Interests

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About

Articles (22)

Understanding AI Acceptance in Healthcare and ‘Glue Ear’ Diagnosis: A Survey of Clinicians and Service Users

Development and Validation of a Machine Learning Model for Detection and Classification of Vertigo

Predominant white matter microstructural changes over gray matter in tinnitus brain

Age effect on wideband absorbance in people with normal middle ear function: a systematic review

An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance

Advancements in Pediatric Audiological Assessments Using Wideband Acoustic Immittance: A Review

Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture

A Systematic Review of the Audiological Efficacy of Cartilage Conduction Hearing Aids and the Factors Influencing Their Clinical Application

Why is tinnitus a problem? A large-scale qualitative evaluation of problems reported by tinnitus patients in mainland China

Trajectories of receptive and expressive vocabulary in Mandarin speaking children under 4 years of age fitted with cochlear implants: a 12-month longitudinal study

Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis

Three‐dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndrome

Reorganization of the cortical connectome functional gradient in age-related hearing loss

Cognitive reserve disorder in age-related hearing loss: cognitive cortical compensatory to auditory perceptual processing

Sensorineural Hearing Loss in Autoimmune Diseases: A Systematic Review and Meta-analysis

Efficacy of Tailor-Made Notched Music Training Versus Tinnitus Retraining Therapy in Adults With Chronic Subjective Tinnitus: A Randomized Controlled Clinical Trial

Speech production in Mandarin-speaking children with cochlear implants: a systematic review

Early detection of noise-induced hearing loss

Detecting Noise-Induced Cochlear Synaptopathy by Auditory Brainstem Response in Tinnitus Patients With Normal Hearing Thresholds: A Meta-Analysis

Parent-child interaction during storybook reading: wordless narrative books versus books with text

Exploring the relationship between conductive hearing loss and cleft speech characteristics in children born with cleft palate

Contributions and limitations of using machine learning to predict noise-induced hearing loss

Collaborators (6)

Sinyoung Lee

Richard Salvi

Robert Mayr

Deborah Hall

Yvonne Wren

Tariq Rahim

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