ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026
Artificial intelligence -assisted tinnitus support with ChatGPT-4.
Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Generative AI for Personalized Learning Platforms in Otolaryngology-Head and Neck Surgery Education: Scoping Review.JMIR medical education · 2026Review
- Tinnitus in urban settings: insights into lifestyle and medical factors from the Hamburg City Health Study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Turing problems in otolaryngology: a scoping review of the principal challenges of artificial ıntelligence and large language models.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Review
- Artificial Intelligence in Rhinoplasty Recovery: Linguistic Intelligence and Machine Learning-Driven Insights.Journal of clinical medicine · 2026Article
- Echoes of immunity: exploring hidden signals in sudden hearing loss.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the effectiveness of ChatGPT-4, an advanced AI language model, in delivering accurate, clear, and relevant information to patients managing tinnitus, especially in settings with limited healthcare access.
methodsChatGPT-4 was presented with ten common tinnitus-related Questions, guided by the 2014 American Academy of Otolaryngology guidelines. Ten ENT specialists rated its responses across multiple metrics using a 5-point Likert scale. Statistical analyses assessed accuracy, reliability, and overall response quality.
resultsChatGPT-4 demonstrated high accuracy (mean = 85.5%, SD = 5.77), relevance (mean = 90.13%, SD = 5.00), and clarity (mean = 83.93%, SD = 5.13) across responses. Response times were consistently efficient (mean = 84.2%, SD = 5.28). Sensitivity and specificity were estimated at 90% and 95%, respectively. Inter-rater reliability analysis yielded moderate to substantial agreement (Cohen's kappa = 0.65-0.78), and effect size analysis indicated a large impact.
conclusionChatGPT-4 provides accurate, timely, and patient-friendly information for tinnitus care, supporting its potential as an adjunct to conventional patient education. This AI tool could bridge gaps in healthcare access, particularly in resource-limited settings, enhancing patient support through accessible and reliable guidance.
Indexed as
Identifiers
41053456What 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.