Cited by 50Academic Writing and PublishingArtificial Intelligence in Healthcare and EducationPublishing and Scholarly Communication

Exploring the Opportunities and Challenges of ChatGPT in Academic Writing: a Roundtable Discussion

Open access
Bom, Hee-Seung Henry·2023·Nuclear Medicine and Molecular Imaging

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 · 10.1007/s13139-023-00809-2

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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?

  • A growing share of scholars use tools such as ChatGPT, Claude, and Gemini to draft manuscripts, generate literature reviews, and suggest/compile reference lists.

    “Recent surveys of researchers across disciplines indicate that a growing share of scholars use tools such as ChatGPT, Claude, and Gemini to draft manuscripts, generate literature reviews, and suggest/compile reference lists [1,2].”

    From How LLMs Cite and Why It Matters: A Cross-Model Audit of Reference Fabrication in AI-Assisted Academic Writing and Methods to Detect Phantom Citations (2026) · cites this paper as [2]

    The roundtable discussion (indexed under Abstract; page unavailable) describes participants using ChatGPT to draft writing, find literature, and suggest references. It does not report surveys across disciplines or establish that a growing share of scholars use these tools; the cited passages also do not discuss Claude or Gemini or specifically document generation of literature reviews. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Large language models such as ChatGPT have demonstrated remarkable fluency in producing coherent and technically structured scientific texts across various disciplines, including health sciences and rehabilitation domains.

    “Among these technologies, large language models (LLMs) such as ChatGPT have demonstrated remarkable fluency in producing coherent and technically structured scientific texts across various disciplines, including health sciences and rehabilitation domains.”

    From Fabricated or accurate? Ethical concerns and citation hallucination in aI-generated scientific writing on musculoskeletal topics (2025) · cites this paper as [2]

    The Abstract (page unavailable) says ChatGPT generates high-quality sentences and can help draft abstracts and paper outlines in a medical research context. It does not establish that it produces technically structured scientific texts across various disciplines, including rehabilitation; it also says generated text may not match academic-paper formats and can require substantial editing. (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.

Cited by

Sorted by citations

Authors
Bom, H.-S. H.
Affiliations
Chonnam National University Hwasun Hospital (KR)
Corresponding author
Bom, Hee-Seung Henry
Venue
Nuclear Medicine and Molecular Imaging
Published
2023-05-23
Volume
57
Issue
4
Pages
165-167
ISSN
  • 1869-3474 (ISSN-L)
  • 1869-3482
OpenAlex
W4377823405
Cited by
50
References
3
Citations by year
2026: 7 · 2025: 16 · 2024: 21 · 2023: 6
Type
journal article
Language
en
Open access
Locations
  • Nuclear Medicine and Molecular Imaging (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
Keywords
ChatGPT, large language models, academic writing, AI in scientific publishing, research integrity, AI-generated text, nuclear medicine research, editorial policy

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