THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HEARING HEALTHCARE: DIAGNOSTICS AND THERAPEUTIC INNOVATIONS
DOI:
https://doi.org/10.31435/ijitss.4(52).2026.6531Keywords:
Artificial Intelligence (AI), Otolaryngology, Audiology, Machine Learning, Hearing Diagnostics, Hearing LossAbstract
Background: Artificial Intelligence (AI) is progressively transforming otolaryngology, enhancing diagnostics and treatment precision. AI-powered tools improve hearing aid personalization, assist in cochlear implant mapping, and analyze audiometric and imaging data for accurate diagnosis. Machine learning also advances tinnitus management through personalized sound therapy. This review aims to explore the current applications of AI in audiology and otolaryngology, highlighting its benefits, limitations, and future directions in clinical practice.
Methods: A comprehensive literature search was performed in November 2024 across PubMed, Embase, Medline, and Scopus using the terms: Artificial Intelligence in Hearing Loss, AI in Diagnostics of Hearing Loss, AI in Cochlear Implants, and Personalized Treatment for Hearing Loss using AI. Duplicates and unrelated publications were excluded, and full-text articles were assessed for eligibility with disagreements resolved by consensus.
Results: The final selection included clinical trials, observational studies, and case reports, focusing on AI's diagnostic capabilities and hearing intervention advancements. These studies were categorized into three main themes: “AI in Audiological Diagnostics,” “Advancing Hearing Loss Treatment with AI,” and “Challenges and Ethical Considerations.”
Conclusions: Artificial intelligence has the potential to revolutionize audiology by improving diagnostics, optimizing hearing devices, and enhancing patient outcomes. Ongoing collaboration among audiologists, data scientists, and engineers, incorporating ethical considerations, will be key to fully realizing AI's impact on hearing and balance disorder treatment.
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