Artificial intelligence‐enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration
Guodao Zhang, Rui Chen, Hamzeh Ghorbani, Wanqing Li, Arsen Minasyan, Yideng Huang, Sen Lin, Minmin Shao
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.