OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare

医疗保健 心理学 计算机科学 互联网隐私 政治学 法学
作者
Ömer Aydın,Enis Karaarslan
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:340
标识
DOI:10.2139/ssrn.4308687
摘要

Literature review articles are essential to summarise the related work in the selected field. However, covering all related studies takes too much time and effort. This study questions how Artificial Intelligence can be used in this process. We used ChatGPT to create a literature review article to show the stage of the OpenAI ChatGPT artificial intelligence application. As the subject, the applications of Digital Twin in the health field were chosen. Abstracts of the last three years (2020, 2021 and 2022) papers were obtained from the keyword "Digital twin in healthcare" search results on Google Scholar and paraphrased by ChatGPT. Later on, we asked ChatGPT questions. The results are promising; however, the paraphrased parts had significant matches when checked with the Ithenticate tool. This article is the first attempt to show the compilation and expression of knowledge will be accelerated with the help of artificial intelligence. We are still at the beginning of such advances. The future academic publishing process will require less human effort, which in turn will allow academics to focus on their studies. In future studies, we will monitor citations to this study to evaluate the academic validity of the content produced by the ChatGPT
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