Cited by 27Artificial Intelligence in Healthcare and EducationArtificial Intelligence in EducationInnovations in Medical Education

Harnessing the power of ChatGPT in medical education

Guo, Alyssa A., Li, Jason·2023·Medical Teacher

Abstract

"Harnessing the power of ChatGPT in medical education." Medical Teacher, ahead-of-print(ahead-of-print), p. 1

Integrity signals

Registry

Crossref · 10.1080/0142159x.2023.2198094

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

The citation lists haven’t been fetched yet

References 2 · Cited by 27

Authors
Guo, A. A., & Li, J.
Affiliations
  • University of South Carolina (US)
  • Greenville Technical College (US)
Corresponding author
Guo, Alyssa A.
Venue
Medical Teacher
Published
2023-04-10
Volume
45
Issue
9
Pages
1063-1063
ISSN
  • 0142-159X (ISSN-L)
  • 1466-187X
OpenAlex
W4362734502
Cited by
27
References
2
Citations by year
2026: 1 · 2025: 11 · 2024: 9 · 2023: 6
Type
journal article
Language
en
Open access
closed
Locations
  • Medical Teacher (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
ChatGPT, large language models, medical education, artificial intelligence in education
MeSH terms
Artificial Intelligence, Education, Medical, Humans

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