Looking ahead: A systematic review of the research on AI-based applications for the deaf and hard of hearing (2000-2024)

This study aims to a systematic review of the latest applications of artificial intelligence (AI) for the Deaf and Hard of Hearing (DHH), including those with cochlear implants. The primary objective is to determine the areas of focus of AI applications and to identify trends in the research over the designated. The review was conducted using the Academic Research Library of the Saudi Digital Library and Google Scholar. The study covered peer-reviewed articles published during the years 2000–2024. 45 articles were iden-tified. The analysis revealed five primary areas of focus in the existing literature: (a) improve the function of hearing aids and/or cochlear implants (n = 17), (b) sign language translation (n = 13), (c) detect and predict hearing loss (n = 10), (d) enhance academic achievement and performance (n = 4), and (e) the ethics of the use of AI applications (n = 1). It was determined that there has been a marked change in the nature of research topic areas, as well as a significant (86.96%) increase in such studies in the last years (2017–2024). This review highlights the need to bridge the research gap regarding the psychological, social, and academic aspects of such technology on the population of DHH.From a practical perspective, this review provides valuable insights for policymakers, educators, and technology developers by highlighting priority areas for future AI solutions. The findings can be practically applied to guide the design of more inclusive educational programs, enhance rehabilita-tion strategies for cochlear implant users, and inform the development of ethical and DHH community-centered AI applications.