AIMC Topic: Deafness
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Machine-Learning Predictions of Cochlear Implant Functional Outcomes: A Systematic Review.
Ear and hearing
Jan 29, 2025
OBJECTIVES: Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) technique...
Use of AI methods to assessment of lower limb peak torque in deaf and hearing football players group.
Acta of bioengineering and biomechanics
Jan 27, 2025
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelli...
Deaf futurity: designing and innovating hearing aids.
Medical humanities
Jan 2, 2025
One of the tenets of a posthuman vision is the eradication of disability through technology. Within this site of 'no future', as Alison Kafer describes, the disabled body is merged with artificial intelligence technology or transformed into a prosthe...
Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People.
Sensors (Basel, Switzerland)
Aug 19, 2024
Sign language is undoubtedly a common way of communication among deaf and non-verbal people. But it is not common among hearing people to use sign language to express feelings or share information in everyday life. Therefore, a significant communicat...
Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application.
Sensors (Basel, Switzerland)
May 14, 2024
Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing peopl...
A Hybrid Deep Learning Approach to Identify Preventable Childhood Hearing Loss.
Ear and hearing
Jun 15, 2023
OBJECTIVE: Childhood hearing loss has well-known, lifelong consequences. Infection-related hearing loss disproportionately affects underserved communities yet can be prevented with early identification and treatment. This study evaluates the utility ...
Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss.
eLife
May 10, 2023
Listeners with hearing loss often struggle to understand speech in noise, even with a hearing aid. To better understand the auditory processing deficits that underlie this problem, we made large-scale brain recordings from gerbils, a common animal mo...
AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.
Nature communications
Sep 10, 2021
Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions...
From manual to artificial intelligence fitting: Two cochlear implant case studies.
Cochlear implants international
Sep 17, 2019
To assess whether CI programming by means of a software application using artificial intelligence (AI), FOX®, may improve cochlear implant (CI) performance. Two adult CI recipients who had mixed auditory results with their manual fitting were selec...
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).
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