Evidence map›Paper›PMID 37515033›Full record

ArticleVaccines2023

Artificial Intelligence and Public Health: Evaluating ChatGPT Responses to Vaccination Myths and Misconceptions.

Giovanna Deiana, Marco Dettori, Antonella Arghittu, Antonio Azara, Giovanni Gabutti, Paolo Castiglia

Abstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
–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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Preliminary Evaluation of Large Language Models in Kennedy Classification and Removable Partial Denture Planning: An In Silico Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  16. Observational
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  20. Is there any room for ChatGPT AI bot in speech-language pathology?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
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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.

Giovanna DeianaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0003-1151-6830
Marco DettoriDepartment of Medical, Surgical and Experimental Sciences, University Hospital of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-4901-2067
Antonella ArghittuDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-9257-1422
Antonio AzaraDepartment of Medical, Surgical and Experimental Sciences, University Hospital of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-9089-0817
Giovanni GabuttiWorking Group "Vaccines and Immunization Policies", Italian Society of Hygiene, Preventive Medicine and Public Health, 16030 Cogorno, Italy.ORCID 0000-0002-7259-4923
Paolo CastigliaDepartment of Medical, Surgical and Experimental Sciences, University Hospital of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-0972-4828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) tools, such as ChatGPT, are the subject of intense debate regarding their possible applications in contexts such as health care. This study evaluates the Correctness, Clarity, and Exhaustiveness of the answers provided by ChatGPT on the topic of vaccination. The World Health Organization's 11 "myths and misconceptions" about vaccinations were administered to both the free (GPT-3.5) and paid version (GPT-4.0) of ChatGPT. The AI tool's responses were evaluated qualitatively and quantitatively, in reference to those myth and misconceptions provided by WHO, independently by two expert Raters. The agreement between the Raters was significant for both versions (

Indexed as

artificial intelligenceChatGPTimmunizationmyths and misconceptionspublic healthvaccines

Identifiers

PMID37515033
PMCPMC10386180

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.