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人工耳蜗植入技术中基于人工智能的创新:推动用于听力恢复的听觉假体发展。

Artificial intelligence-enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration.

作者信息

Zhang Guodao, Chen Rui, Ghorbani Hamzeh, Li Wanqing, Minasyan Arsen, Huang Yideng, Lin Sen, Shao Minmin

机构信息

Department of Otorhinolaryngology The Dingli Clinical College of Wenzhou Medical University, Wenzhou Central Hospital Wenzhou China.

Institute of Intelligent Media Computing Hangzhou Dianzi University Hangzhou China.

出版信息

Bioeng Transl Med. 2025 Jan 9;10(3):e10752. doi: 10.1002/btm2.10752. eCollection 2025 May.


DOI:10.1002/btm2.10752
PMID:40385537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12079510/
Abstract

This comprehensive review explores the implications of artificial intelligence (AI) in addressing cochlear implant (CI) issues and revolutionizing the landscape of auditory prosthetics. It begins with an overview of ear anatomy and hearing loss, then explores a review of CI technology and its current challenges. The review emphasizes how advanced AI algorithms and data-driven approaches enhance CI adaptability and functionality, enabling personalized rehabilitation strategies and improving speech enhancement. It highlights diverse AI applications in auditory rehabilitation, including real-time adaptive control mechanisms and cognitive hearing assistants that help users manage their auditory health. By outlining innovative pathways and future directions for AI-enhanced CIs, the paper sets the stage for a transformative shift in auditory prosthetics, aiming to improve the quality of life for individuals with hearing loss.

摘要

这篇综述探讨了人工智能(AI)在解决人工耳蜗(CI)问题以及彻底改变听觉假体领域方面的影响。它首先概述了耳部解剖结构和听力损失情况,接着探讨了CI技术综述及其当前面临的挑战。该综述强调了先进的AI算法和数据驱动方法如何增强CI的适应性和功能,实现个性化康复策略并改善语音增强效果。它突出了AI在听觉康复中的多种应用,包括实时自适应控制机制和帮助用户管理听觉健康的认知听力助手。通过概述AI增强型CI的创新途径和未来方向,本文为听觉假体的变革性转变奠定了基础,旨在改善听力损失患者的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/873630e8186e/BTM2-10-e10752-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/a146f3a4d676/BTM2-10-e10752-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/daa0afc30cc0/BTM2-10-e10752-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/931289f606b7/BTM2-10-e10752-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/729e9bba521b/BTM2-10-e10752-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/873630e8186e/BTM2-10-e10752-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/a146f3a4d676/BTM2-10-e10752-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/daa0afc30cc0/BTM2-10-e10752-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/931289f606b7/BTM2-10-e10752-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/729e9bba521b/BTM2-10-e10752-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74fe/12079510/873630e8186e/BTM2-10-e10752-g001.jpg

相似文献

[1]
Artificial intelligence-enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration.

Bioeng Transl Med. 2025-1-9

[2]
Comparing Audiological Outcomes of Conventional and AI-Upgraded Cochlear Implant Speech Processors.

Indian J Otolaryngol Head Neck Surg. 2024-10

[3]
Artificial intelligence (AI) in restorative dentistry: current trends and future prospects.

BMC Oral Health. 2025-4-18

[4]
Auditory, Visual, and Cognitive Abilities in Normal-Hearing Adults, Hearing Aid Users, and Cochlear Implant Users.

Ear Hear.

[5]
Vocal control and speech production in cochlear implant listeners: A review within auditory-motor processing framework.

Hear Res. 2024-11

[6]
Cochlear Implantation: Concept, Results Outcomes and Quality of Life.

Laryngorhinootologie. 2022-5

[7]
Implantable Devices for Single-Sided Deafness and Conductive or Mixed Hearing Loss: A Health Technology Assessment.

Ont Health Technol Assess Ser. 2020-3-6

[8]
Restoration of cortical symmetry and binaural function: Cortical auditory evoked responses in adult cochlear implant users with single sided deafness.

PLoS One. 2020-1-14

[9]
Aiding and occluding the contralateral ear in implanted children with auditory neuropathy spectrum disorder.

J Am Acad Audiol. 2011-10

[10]
Trimodal speech perception: how residual acoustic hearing supplements cochlear-implant consonant recognition in the presence of visual cues.

Ear Hear. 2015

引用本文的文献

[1]
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[2]
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本文引用的文献

[1]
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century.

Bioengineering (Basel). 2024-3-29

[2]
Improving emotion perception in cochlear implant users: insights from machine learning analysis of EEG signals.

BMC Neurol. 2024-4-8

[3]
Machine learning-based prediction of the outcomes of cochlear implantation in patients with inner ear malformation.

Eur Arch Otorhinolaryngol. 2024-7

[4]
Revolutionizing healthcare: the role of artificial intelligence in clinical practice.

BMC Med Educ. 2023-9-22

[5]
A Deep Denoising Sound Coding Strategy for Cochlear Implants.

IEEE Trans Biomed Eng. 2023-9

[6]
Optimizing stimulus energy for cochlear implants with a machine learning model of the auditory nerve.

Hear Res. 2023-5

[7]
Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis.

Prog Mol Biol Transl Sci. 2022

[8]
Hearing loss drug discovery and medicinal chemistry: Current status, challenges, and opportunities.

Prog Med Chem. 2022

[9]
Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.

J Assoc Res Otolaryngol. 2022-6

[10]
Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments.

Front Neurosci. 2021-8-11

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