Evidence map›Paper›PMID 38790444›Full record

ArticleBrain sciences2024

ChatGPT for Tinnitus Information and Support: Response Accuracy and Retest after Three and Six Months.

W Wiktor Jedrzejczak, Piotr H Skarzynski, Danuta Raj-Koziak, Milaine Dominici Sanfins, Stavros Hatzopoulos, Krzysztof Kochanek

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Artificial intelligence -assisted tinnitus support with ChatGPT-4.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
    Article
  2. Reference Accuracy in Large Language Model Chatbots: A Metric for Inherent Misinformation?Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

W Wiktor JedrzejczakDepartment of Experimental Audiology, World Hearing Center, Institute of Physiology and Pathology of Hearing, 05-830 Kajetany, Poland.ORCID 0000-0001-8404-0672
Piotr H SkarzynskiDepartment of Teleaudiology and Screening, World Hearing Center, Institute of Physiology and Pathology of Hearing, 05-830 Kajetany, Poland.ORCID 0000-0002-4978-1915
Danuta Raj-KoziakTinnitus Department, World Hearing Center, Institute of Physiology and Pathology of Hearing, 05-830 Kajetany, Poland.ORCID 0000-0002-4067-6043
Milaine Dominici SanfinsDepartment of Teleaudiology and Screening, World Hearing Center, Institute of Physiology and Pathology of Hearing, 05-830 Kajetany, Poland.ORCID 0000-0002-3647-3999
Stavros HatzopoulosENT and Audiology Unit, Department of Neurosciences and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-9509-9722
Krzysztof KochanekDepartment of Experimental Audiology, World Hearing Center, Institute of Physiology and Pathology of Hearing, 05-830 Kajetany, Poland.ORCID 0000-0003-2860-5784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testing of ChatGPT has recently been performed over a diverse range of topics. However, most of these assessments have been based on broad domains of knowledge. Here, we test ChatGPT's knowledge of tinnitus, an important but specialized aspect of audiology and otolaryngology. Testing involved evaluating ChatGPT's answers to a defined set of 10 questions on tinnitus. Furthermore, given the technology is advancing quickly, we re-evaluated the responses to the same 10 questions 3 and 6 months later. The accuracy of the responses was rated by 6 experts (the authors) using a Likert scale ranging from 1 to 5. Most of ChatGPT's responses were rated as satisfactory or better. However, we did detect a few instances where the responses were not accurate and might be considered somewhat misleading. Over the first 3 months, the ratings generally improved, but there was no more significant improvement at 6 months. In our judgment, ChatGPT provided unexpectedly good responses, given that the questions were quite specific. Although no potentially harmful errors were identified, some mistakes could be seen as somewhat misleading. ChatGPT shows great potential if further developed by experts in specific areas, but for now, it is not yet ready for serious application.

Indexed as

artificial intelligenceaudiologychatbothearinglarge language modellongitudinalnatural language processingotorhinolaryngologyself-diagnosis

Identifiers

PMID38790444
PMCPMC11118795

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Registered trials

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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.