AIMC Topic: Tinnitus

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Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study.

Journal of medical Internet research Jun 30, 2020
BACKGROUND: Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient's quality of life. The TrackYourT...
Tinnitus Crowdsourcing Male Quality of Life Longitudinal Studies Telemedicine Surveys and Questionnaires Machine Learning Female Humans
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Assessing the Heterogeneity of Complaints Related to Tinnitus and Hyperacusis from an Unsupervised Machine Learning Approach: An Exploratory Study.

Audiology & neuro-otology Feb 14, 2020
INTRODUCTION: Subjective tinnitus (ST) and hyperacusis (HA) are common auditory symptoms that may become incapacitating in a subgroup of patients who thereby seek medical advice. Both conditions can result from many different mechanisms, and as a con...
Hyperacusis Natural Language Processing Internet Tinnitus Statistics as Topic Data Mining Machine Learning Quality of Life Unsupervised Machine Learning Humans
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Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning.

Neural plasticity Dec 13, 2019
According to previous studies, many neuroanatomical alterations have been detected in patients with tinnitus. However, the results of these studies have been inconsistent. The objective of this study was to explore the cortical/subcortical morphologi...
Male Middle Aged Tinnitus Neuroimaging Magnetic Resonance Imaging Young Adult Adult Brain Female Humans Machine Learning Biomarkers Gray Matter
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Thalamocortical dysrhythmia detected by machine learning.

Nature communications Mar 16, 2018
Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. It is characterized by a common oscillatory pattern in which resting-state alpha activity is replaced by cross-frequency coupling of low- and high-freq...
Electroencephalography Models, Biological Tinnitus Depression Parkinson Disease Neuralgia Brain Chemistry Aged Young Adult Male Middle Aged Brain Adult Female Humans Machine Learning
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Theta-Beta/Gamma Coupling Identifies Bothersome Tinnitus Induced by Thalamocortical Dysrhythmia.

Brain and behavior Jun 1, 2025
BACKGROUND: The phantom sound of tinnitus can be an extremely debilitating condition. The thalamocortical dysrhythmia (TCD) hypothesis is a feature of subjective tinnitus; however, its consistency in characterizing different types of tinnitus remains...
Electroencephalography Tinnitus Auditory Cortex Male Humans Beta Rhythm Middle Aged Aged Gamma Rhythm Adult Theta Rhythm Female Gyrus Cinguli Thalamus
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Novel Tinnitus Diagnosis: Biology and Technology for Public Health Management.

Studies in health technology and informatics May 15, 2025
Tinnitus, characterized by the perception of ringing or buzzing in the ears, significantly affects millions globally and negatively impacts their quality of life. Current management strategies vary in effectiveness, underscoring the need for precise,...
Humans Neural Networks, Computer Tinnitus Public Health Machine Learning Diagnosis, Computer-Assisted Algorithms
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Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Tinnitus is attributed by the perception of a sound without any physical source causing the symptom. Symptom profiles of tinnitus patients are characterized by a large heterogeneity, which is a major obstacle in developing general treatments for this...
Humans Brain Deep Learning Tinnitus Electroencephalography Sound
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