Evidence map›Paper›PMID 39811862›Full record

ArticleJournal of education and health promotion2024

Systematic review of ChatGPT accuracy and performance in Iran's medical licensing exams: A brief report.

Alireza Keshtkar, Farnaz Atighi, Hamid Reihani

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ChatGPT's Performance on Iran's Medical Licensing Exams.Medical journal of the Islamic Republic of Iran · 2025
    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.

Alireza KeshtkarDepartment of Medicine, Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Farnaz AtighiDepartment of Medicine, Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamid ReihaniDepartment of Medicine, Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ChatGPT has demonstrated significant potential in various aspects of medicine, including its performance on licensing examinations. In this study, we systematically investigated ChatGPT's performance in Iranian medical exams and assessed the quality of the included studies using a previously published assessment checklist. The study found that ChatGPT achieved an accuracy range of 32-72% on basic science exams, 34-68.5% on pre-internship exams, and 32-84% on residency exams. Notably, its performance was generally higher when the input was provided in English compared to Persian. One study reported a 40% accuracy rate on an endodontic board exam. To establish ChatGPT as a supplementary tool in medical education and clinical practice, we suggest that dedicated guidelines and checklists are needed to ensure high-quality and consistent research in this emerging field.

Indexed as

Artificial intelligenceChatGPTIranmedical education

Identifiers

PMID39811862
PMCPMC11731324

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.