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Otolaryngology: Big Data Application in Personalized Medicine
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Otolaryngology: Big Data Application in Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 1434

Special Issue Editors

Prof. Dr. Herng-Ching Lin

E-Mail Website
Guest Editor
School of Health Care Administration, College of Management, Taipei Medical University, Taipei 110, Taiwan
Interests: epidemiology; big data analysis; otolaryngology
Special Issues, Collections and Topics in MDPI journals
Dr. Yen-Fu Cheng

E-Mail Website
Guest Editor
Department of Otolaryngology—Head and Neck Surgery, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
Interests: otolaryngology; auditory physiology; genetic medicine

Special Issue Information

Dear Colleagues,

The integration of big data into precision medicine is reshaping the landscape of otolaryngology by facilitating more individualized, predictive, and efficacious approaches to patient care. Historically, clinical decision making in otolaryngology has been primarily guided by generalized treatment protocols. The advent of large-scale data analytics, however, has enabled a shift toward personalized care models informed by genomic, environmental, and behavioral data, enhancing the ability to anticipate disease risk, monitor progression, and tailor therapeutic interventions.

This Special Issue seeks to critically explore the application of big data methodologies across the spectrum of otolaryngologic disorders, encompassing risk stratification, disease pathogenesis, diagnostic accuracy, clinical management, and treatment outcomes. By addressing current limitations and highlighting emerging opportunities, the collection aims to stimulate interdisciplinary collaboration and identify strategic priorities for future research.

We welcome high-quality and data-driven studies that advance the application of big data in otolaryngology and contribute to the evolution of precision medicine within the field.

Prof. Dr. Herng-Ching Lin
Dr. Yen-Fu Cheng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • otolaryngology
  • big data
  • epidemiology
  • precision medicine
  • personalized medicine
  • head and neck cancer

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Review

35 pages, 1744 KB  
Review
Personalizing Cochlear Implant Care in Single-Sided Deafness: A Distinct Paradigm from Bilateral Hearing Loss
by Emmeline Y. Lin, Stephanie M. Younan, Karen C. Barrett and Nicole T. Jiam
J. Pers. Med. 2025, 15(9), 439; https://doi.org/10.3390/jpm15090439 - 15 Sep 2025
Viewed by 1249
Abstract
Background: Cochlear implants (CIs) serve diverse populations with hearing loss, but patients with single-sided deafness (SSD) often show lower post-implantation usage and satisfaction than bilateral CI users. This disparity may stem from their normal contralateral ear providing sufficient auditory input for many daily [...] Read more.
Background: Cochlear implants (CIs) serve diverse populations with hearing loss, but patients with single-sided deafness (SSD) often show lower post-implantation usage and satisfaction than bilateral CI users. This disparity may stem from their normal contralateral ear providing sufficient auditory input for many daily situations, reducing the perceived need for consistent CI use. Consequently, uniform screening and evaluations, typically designed for bilateral hearing loss, often fail to address SSD’s unique needs. Methods: This narrative review synthesizes the current literature to explore patient and device factors shaping CI integration, outcomes, and experience in SSD. It highlights implications for developing personalized care strategies distinct from those used in bilateral hearing loss. Results: SSD patients face unique challenges: reliance on compensatory behaviors and significant auditory processing difficulties like acoustic–electric mismatch and place–pitch discrepancy. Anatomical factors and deafness of duration also impact outcomes. Traditional measures are often insufficient due to ceiling effects. Music perception offers a sensitive metric and rehabilitation tool, while big data and machine learning show promise for predicting outcomes and tailoring interventions. Conclusions: Optimizing CI care for SSD necessitates a personalized approach across candidacy, counseling, and rehabilitation. Tailored strategies, including individualized frequency mapping, adaptive auditory training, advanced outcome metrics like music perception, and leveraging big data for precise, data-driven predictions, are crucial for improving consistent CI usage and overall patient satisfaction. Full article
(This article belongs to the Special Issue Otolaryngology: Big Data Application in Personalized Medicine)
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