Cited by 163Artificial Intelligence in Healthcare and EducationArtificial Intelligence ApplicationsArtificial Intelligence in Education

Early applications of ChatGPT in medical practice, education and research

Open access
Sedaghat, Sam·2023·Clinical Medicine

Abstract

ChatGPT, which can automatically generate written responses to queries using internet sources, soon went viral after its release at the end of 2022. The performance of ChatGPT on medical exams shows results near the passing threshold, making it comparable to third-year medical students. It can also write academic abstracts or reviews at an acceptable level. However, it is not clear how ChatGPT deals with harmful content, misinformation or plagiarism; therefore, authors using ChatGPT professionally for academic writing should be cautious. ChatGPT also has the potential to facilitate the interaction between healthcare providers and patients in various ways. However, sophisticated tasks such as understanding the human anatomy are still a limitation of ChatGPT. ChatGPT can simplify radiological reports, but the possibility of incorrect statements and missing medical information remain. Although ChatGPT has the potential to change medical practice, education and research, further improvements of this application are needed for regular use in medicine.

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Integrity signals

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Crossref · 10.7861/clinmed.2023-0078

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  • A significant worry cited by numerous authors is the potential threat to academic integrity and possible misuse of generative AI in medical education.

    “As touched upon in the preceding paragraph, a significant worry cited by numerous authors is the potential threat to academic integrity and the possible misuse of this technology [12,14,15,19,20,22,23,25,40-43].”

    From Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review (2023) · cites this paper as [41]

    The Abstract warns that plagiarism remains a concern when ChatGPT is used for academic writing, and the Academic writing section reports plagiarism matches in a generated literature review. These passages support a concern about academic integrity, but the paper’s medical education section does not discuss misuse or academic-integrity threats in that setting. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Several articles voice concerns about potential academic dishonesty related to generative AI.

    “Several articles voice concerns about potential academic dishonesty [12,14,15,19,20,22,23,25,40-43].”
  • ChatGPT can respond to a wide range of domains, including medicine and healthcare.

    “Consequently, it can respond to a wide range of domains, including medicine and healthcare.5)”
  • ChatGPT's personalized and easy-to-understand responses are delivered efficiently within seconds.

    “One of the notable features of ChatGPT is its personalized and easy-to-understand responses, delivered efficiently within seconds.5)”
  • ChatGPT provides clear and detailed summaries for certain surgical treatments but may only present the basics for others.

    “While ChatGPT provides clear and detailed summaries for certain surgical treatments, it may only present the basics for others.5)”

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Authors
Sedaghat, S.
Affiliations
University Hospital Heidelberg (DE)
Corresponding author
Sedaghat, Sam
Venue
Clinical Medicine
Publisher
Elsevier BV
Published
2023-05
Volume
23
Issue
3
Pages
278-279
ISSN
1470-2118 (ISSN-L)
OpenAlex
W4366743045
Cited by
163
References
17
Citations by year
2026: 6 · 2025: 39 · 2024: 82 · 2023: 35
FWCI
6.47
Type
journal article
Language
en
Open access
Locations
  • Clinical Medicine (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
ChatGPT, large language models, medical education, medical practice, medical research, academic writing, patient-provider interaction, misinformation, plagiarism
MeSH terms
Educational Status, Health Personnel, Humans, Medicine, Students, Medical, Internet

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