Evidence map›Paper›PMID 37493845›Full record

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 Surgery2023

"Vertigo, likely peripheral": the dizzying rise of ChatGPT.

Jeremy Chee, Eunice Dawn Kwa, Xueying Goh

Abstract read
PubMed Publisher
In one paragraph

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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Chasing sleep physicians: ChatGPT-4o on the interpretation of polysomnographic results.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 · 2025
    Article
  5. Article
  6. The role of artificial intelligence in training ENT residents: a survey on ChatGPT, a new method of investigation.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2024
    Article
  7. An introduction to machine learning and generative artificial intelligence for otolaryngologists-head and neck surgeons: a narrative review.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 · 2024
    Review
  8. Is artificial intelligence ready to replace specialist doctors entirely? ENT specialists vs ChatGPT: 1-0, ball at the center.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 · 2024
    Article
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

3 authors at 2 institutions in 1 country.

Jeremy CheeDepartment of Otolaryngology-Head and Neck Surgery, National University Hospital, 1E Kent Ridge Rd, Singapore, 119228, Singapore. cheejeremy@gmail.com.ORCID http://orcid.org/0000-0002-4702-7951
Eunice Dawn KwaDepartment of Otolaryngology-Head and Neck Surgery, National University Hospital, 1E Kent Ridge Rd, Singapore, 119228, Singapore.
Xueying GohDepartment of Otolaryngology-Head and Neck Surgery, National University Hospital, 1E Kent Ridge Rd, Singapore, 119228, Singapore.
National University of Singapore · SGNational University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe use of artificial intelligence (AI) in medical decision-making has once again come to the forefront with the prevalence of Natural Language Processing (NLP). In this exploratory article, we tested one such model, ChatGPT, for its ability to identify vestibular causes of dizziness

methodsEight hypothetical scenarios were presented to ChatGPT, which included varying clinical pictures and types of prompts. The responses given by ChatGPT were evaluated for coherence, clarity, consistency, accuracy, appropriateness, and recognition of limitations. ChatGPT provided coherent and logical responses.

resultsThe model accurately provided differentials for both vestibular and non-vestibular causes of dizziness, with the correct diagnosis presented first in six of the cases, with important limitations

conclusionBeing an AI tool, ChatGPT lacks the ability to process certain nuances in clinical decision making, in both identifying atypical dizziness, as well as in recommending further examination steps to elucidate a clearer diagnosis. We believe that AI will continue to forge ahead in the medical field. Merging the immense knowledge base of AI programming with the nuances of clinical assessment and knowledge integration will surely enhance patient care in the years to come.

Indexed as

DizzinessVestibule, LabyrinthArtificial IntelligenceClinical Decision-MakingHumansVertigoArtificial intelligenceDizzinessNatural language processingVertigo

Identifiers

PMID37493845
OpenAlexW4385264386

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.