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논문 기본 정보

자료유형
학술저널
저자정보
Alnaimat Fatima (Division of Rheumatology, Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan.) Al-Halaseh Salameh (Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan.) AlSamhori Abdel Rahman Feras (Department of Internal Medicine, School of Medicine, University of Jordan, Amman, Jordan.)
저널정보
대한의학회 Journal of Korean Medical Science Journal of Korean Medical Science Vol.39 No.32
발행연도
2024.8
수록면
1 - 17 (17page)
DOI
10.3346/jkms.2024.39.e231

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초록· 키워드

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Reporting standards are essential to health research as they improve accuracy and transparency. Over time, significant changes have occurred to the requirements for reporting research to ensure comprehensive and transparent reporting across a range of study domains and foster methodological rigor. The establishment of the Declaration of Helsinki, Consolidated Standards of Reporting Trials (CONSORT), Strengthening the Reporting of Observational Studies in Epidemiology (STROBE), and Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) are just a few of the historic initiatives that have increased research transparency. Through enhanced discoverability, statistical analysis facilitation, article quality enhancement, and language barrier reduction, artificial intelligence (AI)—in particular, large language models like ChatGPT—has transformed academic writing. However, problems with errors that could occur and the need for transparency while utilizing AI tools still exist. Modifying reporting rules to include AI-driven writing tools such as ChatGPT is ethically and practically challenging. In academic writing, precautions for truth, privacy, and responsibility are necessary due to concerns about biases, openness, data limits, and potential legal ramifications. The CONSORT-AI and Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT)-AI Steering Group expands the CONSORT guidelines for AI clinical trials—new checklists like METRICS and CLEAR help to promote transparency in AI studies. Responsible usage of technology in research and writing software adoption requires interdisciplinary collaboration and ethical assessment. This study explores the impact of AI technologies, specifically ChatGPT, on past reporting standards and the need for revised guidelines for open, reproducible, and robust scientific publications.

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