AIMC Topic: Hearing

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Prediction of Hearing Prognosis of Large Vestibular Aqueduct Syndrome Based on the PyTorch Deep Learning Model.

Journal of healthcare engineering Apr 13, 2022
In order to compare magnetic resonance imaging (MRI) findings of patients with large vestibular aqueduct syndrome (LVAS) in the stable hearing loss (HL) group and the fluctuating HL group, this paper provides reference for clinicians' early intervent...
Deep Learning Child Syndrome Hearing Humans Prognosis Retrospective Studies Vestibular Diseases Vestibular Aqueduct
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Towards accurate facial nerve segmentation with decoupling optimization.

Physics in medicine and biology Mar 11, 2022
Robotic cochlear implantation is an effective way to restore the hearing of hearing-impaired patients, and facial nerve recognition is the key to the operation. However, accurate facial nerve segmentation is a challenging task, mainly for two key iss...
Robotics Facial Nerve Hearing Pyramidal Tracts Humans Neural Networks, Computer
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Predicting speech discrimination scores from pure-tone thresholds-A machine learning-based approach using data from 12,697 subjects.

PloS one Dec 31, 2021
Diagnostic tests for hearing impairment not only determines the presence (or absence) of hearing loss, but also evaluates its degree and type, and provides physicians with essential data for future treatment and rehabilitation. Therefore, accurately ...
Speech Reception Threshold Test Speech Perception Auditory Threshold Discrimination Learning Humans Neural Networks, Computer Machine Learning Algorithms Republic of Korea Female Infant, Newborn Adolescent Child, Preschool Child Computational Biology Reproducibility of Results Models, Statistical Adult Aged Male Audiometry, Pure-Tone Aged, 80 and over Middle Aged Hearing Young Adult Infant Hearing Loss
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Robotics, automation, active electrode arrays, and new devices for cochlear implantation: A contemporary review.

Hearing research Dec 25, 2021
In the last two decades, cochlear implant surgery has evolved into a minimally invasive, hearing preservation surgical technique. The devices used during surgery have benefited from technological advances that have allowed modification and possible i...
Cochlear Implantation Hearing Cochlear Implants Humans Cochlea Robotics
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Sound Event Detection by Pseudo-Labeling in Weakly Labeled Dataset.

Sensors (Basel, Switzerland) Dec 15, 2021
Weakly labeled sound event detection (WSED) is an important task as it can facilitate the data collection efforts before constructing a strongly labeled sound event dataset. Recent high performance in deep learning-based WSED's exploited using a segm...
Hearing Neural Networks, Computer Noise Acoustics Sound
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Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis.

Scientific reports Sep 15, 2021
Decision making on the treatment of vestibular schwannoma (VS) is mainly based on the symptoms, tumor size, patient's preference, and experience of the medical team. Here we provide objective tools to support the decision process by answering two que...
Humans Machine Learning Clinical Decision-Making Female Middle Aged ROC Curve Decision Trees Supervised Machine Learning Reproducibility of Results Aged Adult Male Hearing Tests Neuroma, Acoustic Disease Management Hearing Symptom Assessment
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Predicting hearing recovery following treatment of idiopathic sudden sensorineural hearing loss with machine learning models.

American journal of otolaryngology Jan 4, 2021
PURPOSE: Idiopathic sudden sensorineural hearing loss (ISSHL) is an emergency otological disease, and its definite prognostic factors remain unclear. This study applied machine learning methods to develop a new ISSHL prognosis prediction model.
Hearing Hearing Loss, Sensorineural Hearing Loss, Sudden Injections, Intralesional Retrospective Studies Female Adult Male Middle Aged Glucocorticoids Logistic Models Recovery of Function Humans Machine Learning Prognosis
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Machine learning approach for prediction of hearing preservation in vestibular schwannoma surgery.

Scientific reports Apr 28, 2020
In vestibular schwannoma patients with functional hearing status, surgical resection while preserving the hearing is feasible. Hearing levels, tumor size, and location of the tumor have been known to be candidates of predictors. We used a machine lea...
Hearing Adult Male Middle Aged Neurilemmoma Machine Learning Algorithms Female Humans
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Model-based hearing diagnostics based on wideband tympanometry measurements utilizing fuzzy arithmetic.

Hearing research Feb 28, 2019
Today's audiometric methods for the diagnosis of middle ear disease are often based on a comparison of measurements with standard curves, that represent the statistical range of normal hearing responses. Because of large inter-individual variances in...
Cluster Analysis Predictive Value of Tests Hearing Joints Ligaments Ear Canal Humans Reproducibility of Results Tympanic Membrane Acoustic Impedance Tests Models, Theoretical Ear, Middle Ear Ossicles Fuzzy Logic Ear Diseases
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The Role of Preoperative Steroids for Hearing Preservation Cochlear Implantation: Results of a Randomized Controlled Trial.

Audiology & neuro-otology Jan 13, 2018
OBJECTIVES: To determine whether preoperative steroids can improve hearing outcomes in cochlear implantation (CI).
Dexamethasone Cochlear Implantation Male Humans Prednisolone Deafness Female Middle Aged Preoperative Care Hearing Aged Glucocorticoids Audiometry, Pure-Tone Treatment Outcome
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