Evidence map›Paper›PMID 37962570›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 Surgery2024

Is artificial intelligence ready to replace specialist doctors entirely? ENT specialists vs ChatGPT: 1-0, ball at the center.

Virginia Dallari, Andrea Sacchetto, Roberto Saetti, Luca Calabrese, Fabio Vittadello, Luca Gazzini

Abstract read
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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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Current role of artificial intelligence and machine learning: is their application feasible in pediatric upper airway obstructive disorders?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
    Pooled it
  2. 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 · 2026
    Review
  3. Comparative diagnostic accuracy of ChatGPT models in salivary gland disease: a multimodal vignette-based evaluation.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
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  7. Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025
    Article
  8. 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
  9. Artificial intelligence based diagnosis of sulcus: assesment of videostroboscopy via deep learning.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
  10. Transforming ENT Healthcare: Advancements and Implications of Artificial Intelligence.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  11. Is artificial intelligence true glory? Response to "Generative artificial intelligence in otolaryngology-head and neck surgery editorial: be an actor of the future or follower".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
  12. 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
  13. Generative artificial intelligence in otolaryngology-head and neck surgery editorial: be an actor of the future or follower.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
  14. 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

6 authors at 5 institutions in 2 countries.

Virginia DallariYoung Confederation of European ORL-HNS, Y-CEORL-HNS, Dublin, Ireland.
Andrea SacchettoYoung Confederation of European ORL-HNS, Y-CEORL-HNS, Dublin, Ireland. andrea.sacchetto89@gmail.com.ORCID http://orcid.org/0000-0002-0272-6652
Roberto SaettiDepartment of Otolaryngology, Ospedale San Bortolo, AULSS 8 Berica, Vicenza, Italy.
Luca CalabreseDepartment of Otorhinolaryngology-Head and Neck Surgery, Hospital of Bolzano (SABES-ASDAA), Teaching Hospital of Paracelsus Medical University (PMU), Bolzano-Bozen, Italy.
Fabio VittadelloExplora-Research and Statistical Analysis, Padua, Italy.
Luca GazziniYoung Confederation of European ORL-HNS, Y-CEORL-HNS, Dublin, Ireland.
Ospedale di Bolzano · ITCentral Statistics Office · IEExplora (Italy) · ITOspedale San Bortolo · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to evaluate ChatGPT's responses to Ear, Nose and Throat (ENT) clinical cases and compare them with the responses of ENT specialists.

methodsWe have hypothesized 10 scenarios, based on ENT daily experience, with the same primary symptom. We have constructed 20 clinical cases, 2 for each scenario. We described them to 3 ENT specialists and ChatGPT. The difficulty of the clinical cases was assessed by the 5 ENT authors of this article. The responses of ChatGPT were evaluated by the 5 ENT authors of this article for correctness and consistency with the responses of the 3 ENT experts. To verify the stability of ChatGPT's responses, we conducted the searches, always from the same account, for 5 consecutive days.

resultsAmong the 20 cases, 8 were rated as low complexity, 6 as moderate complexity and 6 as high complexity. The overall mean correctness and consistency score of ChatGPT responses was 3.80 (SD 1.02) and 2.89 (SD 1.24), respectively. We did not find a statistically significant difference in the average ChatGPT correctness and coherence score according to case complexity. The total intraclass correlation coefficient (ICC) for the stability of the correctness and consistency of ChatGPT was 0.763 (95% confidence interval [CI] 0.553-0.895) and 0.837 (95% CI 0.689-0.927), respectively.

conclusionsOur results revealed the potential usefulness of ChatGPT in ENT diagnosis. The instability in responses and the inability to recognise certain clinical elements are its main limitations.

Indexed as

Artificial IntelligencePharynxHumansNeckNoseChatGPTMachine learningNatural language processingOtolaryngologyResearch

Identifiers

PMID37962570
OpenAlexW4388657723

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.