Evidence map›Paper›PMID 40150453›Full record

ReviewHealthcare (Basel, Switzerland)2025

A Review of Large Language Models in Medical Education, Clinical Decision Support, and Healthcare Administration.

Josip Vrdoljak, Zvonimir Boban, Marino Vilović, Marko Kumrić, Joško Božić

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 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

77 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. AI in Medical Questionnaires: Scoping ReviewJournal of medical Internet research · 2025
    Pooled it
  4. Pooled it
  5. Trial
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  8. Review
  9. Article
  10. 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
  11. Article
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  20. Article

17 more citing papers are in PubMed but not listed here.

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

5 authors.

Josip VrdoljakDepartment for Pathophysiology, School of Medicine, University of Split, 21000 Split, Croatia.
Zvonimir BobanDepartment for Medical Physics, School of Medicine, University of Split, 21000 Split, Croatia.ORCID 0000-0003-1766-0120
Marino VilovićDepartment for Pathophysiology, School of Medicine, University of Split, 21000 Split, Croatia.ORCID 0000-0002-5433-5063
Marko KumrićDepartment for Pathophysiology, School of Medicine, University of Split, 21000 Split, Croatia.ORCID 0000-0002-9696-3359
Joško BožićDepartment for Pathophysiology, School of Medicine, University of Split, 21000 Split, Croatia.ORCID 0000-0003-1634-0635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceclinical decision supporthealthcare administrationlarge language modelsmedical education

Identifiers

PMID40150453
PMCPMC11942098

What OpenQuestion 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 OpenQuestion graph.