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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 ChatGPT’s training data only updates with each new version release, which could result in outdated or incomplete research.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.
Artificial intelligence language models medical writing research methodology
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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Birincil Dil | İngilizce |
---|---|
Konular | Bilgi Sistemleri (Diğer) |
Bölüm | Review |
Yazarlar | |
Proje Numarası | n/a |
Yayımlanma Tarihi | 15 Ocak 2024 |
Yayımlandığı Sayı | Yıl 2024 Cilt: 6 Sayı: 1 |
Üniversitelerarası Kurul (ÜAK) Eşdeğerliği: Ulakbim TR Dizin'de olan dergilerde yayımlanan makale [10 PUAN] ve 1a, b, c hariç uluslararası indekslerde (1d) olan dergilerde yayımlanan makale [5 PUAN]
- Dahil olduğumuz İndeksler (Dizinler) ve Platformlar sayfanın en altındadır.
Not: Dergimiz WOS indeksli değildir ve bu nedenle Q olarak sınıflandırılmamaktadır.
Yüksek Öğretim Kurumu (YÖK) kriterlerine göre yağmacı/şüpheli dergiler hakkındaki kararları ile yazar aydınlatma metni ve dergi ücretlendirme politikasını tarayıcınızdan indirebilirsiniz. https://dergipark.org.tr/tr/journal/3449/page/10809/update
Dergi Dizin ve Platformları
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.