AIMC Topic: Ear Protective Devices

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Role of risk factors and their variable types in predicting noise-induced hearing loss using artificial intelligence algorithms.

Hearing research Jul 1, 2025
Early prediction and warning of occupational noise-induced hearing loss (NIHL) in workers is critical. This study aimed to explore the role of risk factors and their variable types to NIHL prediction through machine learning (ML) techniques. Data on ...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Female Risk Factors Young Adult Adult Male Middle Aged Risk Assessment China Time Factors Occupational Exposure Logistic Models Age Factors Predictive Value of Tests Sex Factors Hearing Occupational Diseases Hearing Loss, Noise-Induced Noise, Occupational Ear Protective Devices
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Morphologic clustering of earcanals using deep learning algorithm to design artificial ears dedicated to earplug attenuation measurement.

The Journal of the Acoustical Society of America Dec 1, 2022
Designing earplugs adapted for the widest number of earcanals requires acoustical test fixtures (ATFs) geometrically representative of the population. Most existing ATFs are equipped with unique sized straight cylindrical earcanals, considered repres...
Humans Artificial Intelligence Deep Learning Canada Cluster Analysis Hearing Loss, Noise-Induced Ear Protective Devices
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