ReviewZeitschrift fur Gerontologie und Geriatrie2023
The future of hearing aid technology : Can technology turn us into superheroes?
Review in Zeitschrift fur Gerontologie und Geriatrie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Initial High-Frequency Amplification Accuracy Predicts Long-Term Hearing Aid Fitting Outcomes: A Real Ear Measurement-Based Study.Journal of clinical medicine · 2026Article
- Evolution of Bluetooth Technology: BLE in the IoT Ecosystem.Sensors (Basel, Switzerland) · 2025Review
- Hearing and sociality: the implications of hearing loss on social life.Frontiers in neuroscience · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHearing aid technology has proven to be successful in the rehabilitation of hearing loss, but its performance is still limited in difficult everyday conditions characterized by noise and reverberation.
objectiveIntroduction to the current state of hearing aid technology and presentation of the current state of research and future developments.
methodsThe current literature was analyzed and several specific new developments are presented.
resultsBoth objective and subjective data from empirical studies show the limitations of the current technology. Examples of current research show the potential of machine learning-based algorithms and multimodal signal processing for improving speech processing and perception, of using virtual reality for improving hearing device fitting and of mobile health technology for improving hearing health services.
conclusionHearing device technology will remain a key factor in the rehabilitation of hearing impairments. New technology, such as machine learning and multimodal signal processing, virtual reality and mobile health technology, will improve speech enhancement, individual fitting and communication training, thus providing better support for all hearing-impaired patients, including older patients with disabilities or declining cognitive skills.
Indexed as
Identifiers
37103645What 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.