The Challenges and Prospects in Cochlear Implantation

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Otolaryngology".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 97

Special Issue Editors


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Guest Editor
1. Biomedical Engineering Group, University of Seville, 41004 Seville, Spain
2 Department of Otolaryngology, Head and Neck Surgery, Virgen Macarena University Hospital, 41009 Seville, Spain
3. Oticon Medical, 28108 Madrid, Spain
Interests: bioelectrical modelling; computational audiology; hearing neuroscience; cochlear implants

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Guest Editor
Hearing and Balance Laboratory, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain
Interests: cochlear implants; vestibular implants; intraoperative measurements; electrocochleography; transimpedance
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Signal Theory, Telematics and Communications, University of Granada, 18071 Granada, Spain
2. Research Centre for Information and Communication Technologies, University of Granada, 18071 Granada, Spain
3. Department of Linguistics, Macquarie University, Sydney, NSW 2109, Australia
Interests: signal processing; auditory evoked potentials; hearing neuroscience; cognition; listening effort; cochlear implants

Special Issue Information

Dear Colleagues,

Cochlear implants (CIs) constitute a paradigmatic example of the symbiosis between the fields of medicine and engineering. They have revolutionized hearing loss treatment by becoming more widespread and available to a greater number of patients with ever-increasing heterogeneous conditions, leading to an improvement in their quality of life and social integration. Nevertheless, despite the widespread use and technical improvement of CI devices over recent decades, scientific, clinical, and technical challenges do remain. For instance, the high inter-subject variability and the lack of sensitive biomarkers make the prediction of individual CI outcomes unreliable, and the optimal fitting of stimulation parameters challenging. Recent evidence has also uncovered the impact of hearing loss on cognition and vice versa, thus highlighting its complexity and the outstanding need for creating multimodal hearing datasets across different health domains. Therefore, interdisciplinary approaches in medicine, physiology, biology, neuroscience, data science, and engineering are essential to better delineate the main variables responsible for successful CI rehabilitation. This Special Issue invites interdisciplinary research groups to explore future challenges and prospects in CI implantation through original research articles focusing on—but not limited to—the following:

  • Cochlear implant candidacy, update on indications, and health-related issues;
  • Challenges in pediatric CI surgery and rehabilitation;
  • CI in the elderly;
  • New robotic and surgical CI procedures;
  • Personalized image-based anatomical modelling and fitting;
  • Electrophysiological and objective CI measures;
  • Advances in hardware and software and sound coding strategies;
  • In-noise speech intelligibility, sound localization, music assessment in CI users;
  • Listening/cognitive effort and fatigue in CI users;
  • Tinnitus management and CI;
  • Vestibular disorders and CI;
  • Ecological momentary assessment (EMA) in CI population;
  • Big data, AI and data-based computational approaches to improve CI devices and rehabilitation;
  • Analysis and research of special (unmet) needs in CI patients, family, caregivers, clinical professionals and other stakeholders;
  • Cochlear implantation in low- and middle-income countries.

This Special Issue welcomes different types of articles, including Original Research, Reviews, Communications, Opinions, Perspectives, Hypotheses, Technical Notes, and more. Article types accepted by MDPI can be found at https://www.mdpi.com/about/article_types.

Dr. María Amparo Callejón Leblic
Dr. Angel Ramos de Miguel
Dr. Joaquin Tomas Valderrama Valenzuela
Guest Editors

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Keywords

  • cochlear implant
  • hearing loss
  • image
  • modeling
  • cognition
  • electrophysiology
  • AI
  • big data
  • interdisciplinary assessment

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