ReviewCurrent aging science2026
AI-Driven Innovations in Hearing Health: A Review of Artificial Intelligence Applications in Audiology and Hearing Technologies.
Review in Current aging science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hearing loss is a prevalent condition affecting over 500 million people globally, with projections estimating more than 700 million cases by 2050. Artificial Intelligence (AI) holds transformative potential in audiology, enhancing diagnostic, therapeutic, and rehabilitation outcomes. This review explores the applications of AI in hearing aids, cochlear implants, sign language recognition, and tele-audiology. A comprehensive literature review was conducted using PubMed, Google Scholar, and other academic databases. Relevant studies on AI-driven advancements in audiology were analyzed, focusing on hearing aid technologies, cochlear implants, diagnostics, and tele-audiology platforms. AI technologies significantly enhance hearing aids through real-time personalization and adaptive algorithms. Cochlear implants leverage AI for improved speech recognition and listening comfort. AI-powered sign language systems facilitate communication through real-time gestureto- text conversions, while tele-audiology expands care access using AI-enabled platforms. Diagnostic advancements include AI-enhanced audiometric testing and otoscopy. AI is revolutionizing hearing healthcare by providing personalized, efficient, and accessible solutions. Its integration into audiology represents a paradigm shift, offering significant improvements in patient outcomes and quality of life.
Indexed as
Identifiers
42839865What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.