Cited by 3Artificial Intelligence in Healthcare and EducationCardiac Arrest and ResuscitationNatural Language Processing Techniques

Beyond English: chatGPT's instructions across EU languages

Open access
Haman, Michael·2024·Resuscitation

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.resuscitation.2024.110367

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • All prompts were in English because previous studies have indicated that GPT is optimized for tasks prompted in English.

    “All prompts were in English as previous studies (Haman, 2024; Lai et al., 2023) have indicated that GPT is optimized for tasks prompted in this language.”

    From ChatGPT for President! Presupposed content in politicians versus GPT-generated texts (2025) · cites this paper as Haman, 2024

    The Abstract reports that English was among the highest-performing languages for ChatGPT-generated CPR instructions, alongside Dutch and Polish. That supports an English-performance rationale, but this test of one medical task does not establish that GPT is generally optimized for tasks prompted in English. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Still being checked.

Cited by

Sorted by citations

Authors
Haman, M.
Affiliations
Czech University of Life Sciences Prague (CZ)
Corresponding author
Haman, Michael
Venue
Resuscitation
Publisher
Elsevier BV
Published
2024-09
Volume
202
Pages
110367
ISSN
0300-9572 (ISSN-L)
OpenAlex
W4401689736
Cited by
3
References
0
Citations by year
2025: 2 · 2024: 1
FWCI
0.28
Type
journal article
Language
en
Open access
Locations
  • Resuscitation (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Emergency Medicine › Cardiac Arrest and Resuscitation
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
ChatGPT, multilingual language models, CPR training, European Union official languages, artificial intelligence in healthcare
MeSH terms
European Union, Humans, Language, Cardiopulmonary Resuscitation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review