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

IF 6.1 2区 医学 Q1 ENGINEERING, BIOMEDICAL Bioengineering & Translational Medicine Pub Date : 2025-01-10 DOI:10.1002/btm2.10752
Guodao Zhang, Rui Chen, Hamzeh Ghorbani, Wanqing Li, Arsen Minasyan, Yideng Huang, Sen Lin, Minmin Shao
{"title":"Artificial intelligence‐enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration","authors":"Guodao Zhang, Rui Chen, Hamzeh Ghorbani, Wanqing Li, Arsen Minasyan, Yideng Huang, Sen Lin, Minmin Shao","doi":"10.1002/btm2.10752","DOIUrl":null,"url":null,"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.","PeriodicalId":9263,"journal":{"name":"Bioengineering & Translational Medicine","volume":"129 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioengineering & Translational Medicine","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/btm2.10752","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能技术在人工耳蜗植入技术中的创新:促进听力修复的听觉修复
这篇全面的综述探讨了人工智能(AI)在解决人工耳蜗(CI)问题和彻底改变听觉假肢领域的意义。它从耳部解剖和听力损失的概述开始,然后探讨了CI技术及其当前挑战的回顾。该综述强调了先进的人工智能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提高语音增强。它强调了各种人工智能在听觉康复中的应用,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。通过概述人工智能增强的CIs的创新途径和未来方向,该论文为听觉假肢的变革转变奠定了基础,旨在改善听力损失患者的生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Bioengineering & Translational Medicine
Bioengineering & Translational Medicine Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
8.40
自引率
4.10%
发文量
150
审稿时长
12 weeks
期刊介绍: Bioengineering & Translational Medicine, an official, peer-reviewed online open-access journal of the American Institute of Chemical Engineers (AIChE) and the Society for Biological Engineering (SBE), focuses on how chemical and biological engineering approaches drive innovative technologies and solutions that impact clinical practice and commercial healthcare products.
期刊最新文献
Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare AI‐assisted warfarin dose optimisation with CURATE.AI for clinical impact: Retrospective data analysis Stem cell therapies in the clinic Multimodal near‐infrared molecular imaging of ex vivo endometrial carcinoma via CD47‐based targeted tracer Establishing a scalable perfusion strategy for the manufacture of CAR‐T cells in stirred‐tank bioreactors using a quality‐by‐design approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1