ReviewBioengineering & translational medicine2025
Artificial intelligence-enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration.
Review in Bioengineering & translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Artificial intelligence and hearing health: a global evidence review of biases and equity implications for Africa.Global health action · 2026Review
- Hearing Impairment in Kazakhstan, 2020-2025: Dispensary Registration, Disability Certification, and Cochlear Implantation Response, with Reference to Global Burden of Disease 2021 Modelled Estimates.Audiology research · 2026Article
- Multi-Level Perception Systems in Fusion of Lifeforms: Classification, Challenges and Future Conceptions.Sensors (Basel, Switzerland) · 2026Review
- Benchmarking Machine Learning Models for HIV-1 Protease Inhibitor Resistance Prediction: Impact of Data Set Construction and Feature Representation.Journal of chemical information and modeling · 2025Article
- Review
- mRNA decapping enzyme2 DCP2 expression correlates with progression and prognosis of hepatocellular carcinoma.Scientific reports · 2025Article
- Artificial intelligence-enabled innovations in cochlear implant technology: Advancing auditory prosthetics for hearing restoration.Bioengineering & translational medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This comprehensive review explores the implications of artificial intelligence (AI) in addressing cochlear implant (CI) issues and revolutionizing the landscape of auditory prosthetics. It begins with an overview of ear anatomy and hearing loss, then explores a review of CI technology and its current challenges. The review emphasizes how advanced AI algorithms and data-driven approaches enhance CI adaptability and functionality, enabling personalized rehabilitation strategies and improving speech enhancement. It highlights diverse AI applications in auditory rehabilitation, including real-time adaptive control mechanisms and cognitive hearing assistants that help users manage their auditory health. By outlining innovative pathways and future directions for AI-enhanced CIs, the paper sets the stage for a transformative shift in auditory prosthetics, aiming to improve the quality of life for individuals with hearing loss.
Indexed as
Identifiers
What 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.