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This study explores the capabilities and limitations of ChatGPT, an advanced language model, in medical writing. Leveraging the GPT-4 architecture, ChatGPT has shown potential in aiding various stages of medical article creation, including planning, drafting, revising, and even submission processes. It can summarize extensive literature, suggest research questions, and assist in multi-language research, making it a versatile tool for initial research and planning. During revisions, ChatGPT’s strengths lie in improving language, ensuring consistency, and enhancing readability. Despite its abilities, ChatGPT has several limitations. ChatGPT’s training data only updates with each new version release, which could result in outdated or incomplete research. It also lacks the critical thinking, domain expertise, and ethical considerations that human researchers bring to medical writing. While ChatGPT can be a useful tool for routine tasks and initial drafts, human expertise remains critical for generating high-quality, ethical, and insightful medical research articles. Therefore, a hybrid approach that combines the computational power of ChatGPT with the intellectual and ethical rigor of human experts is recommended for optimizing medical writing processes.
In the conduct and reporting of this research, the authors have fully adhered to the principles outlined in the Declaration of Helsinki.
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Primary Language | English |
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Subjects | Information Systems (Other) |
Journal Section | Review |
Authors | |
Project Number | n/a |
Publication Date | January 15, 2024 |
Published in Issue | Year 2024 Volume: 6 Issue: 1 |
TR DİZİN ULAKBİM and International Indexes (1b)
Interuniversity Board (UAK) Equivalency: Article published in Ulakbim TR Index journal [10 POINTS], and Article published in other (excuding 1a, b, c) international indexed journal (1d) [5 POINTS]
Note: Our journal is not WOS indexed and therefore is not classified as Q.
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TR Dizin ULAKBİM, Google Scholar, Crossref, Worldcat (OCLC), DRJI, EuroPub, OpenAIRE, Turkiye Citation Index, Turk Medline, ROAD, ICI World of Journal's, Index Copernicus, ASOS Index, General Impact Factor, Scilit.The indexes of the journal's are;
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TR Dizin Ulakbim, Crossref (DOI), Google Scholar, EuroPub, Directory of Research Journal İndexing (DRJI), Worldcat (OCLC), OpenAIRE, ASOS Index, ROAD, Turkiye Citation Index, ICI World of Journal's, Index Copernicus, Turk Medline, General Impact Factor, Scilit
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Journal articles are evaluated as "Double-Blind Peer Review"