An overview of the capabilities of ChatGPT for medical writing and its implications for academic integrity

Abstract

The artificial intelligence (AI) tool ChatGPT, which is based on a large language model (LLM), is gaining popularity in academic institutions, notably in the medical field. This article provides a brief overview of the capabilities of ChatGPT for medical writing and its implications for academic integrity. It provides a list of AI generative tools, common use of AI generative tools for medical writing, and provides a list of AI generative text detection tools. It also provides recommendations for policymakers, information professionals, and medical faculty for the constructive use of AI generative tools and related technology. It also highlights the role of health sciences librarians and educators in protecting students from generating text through ChatGPT in their academic work.

The Impact of Artificial Intelligence (AI) on Midwifery Education: A Scoping Review

“…Studies in the field of medicine demonstrate that ChatGPT can produce high-quality scientific abstracts, which are difficult for reviewers to distinguish [ 36 ]. To address this issue, several reliable AI tools have been developed to recognize the texts generated by ChatGPT, and the utilization of such AI tools can diminish the probability of students and academics submitting texts solely generated by ChatGPT [ 23 ]. However, it is unclear how ChatGPT deals with misinformation and plagiarism [ 22 ], and privacy concerns and bias are also discussed as potential risks when using ChatGPT in a scientific context [ 37 ].…”

“…Some of the major risks related to AI in midwifery education are misinformation and plagiarism [ 22 ]. Whereas AI-generated content can be detected by several reliable AI tools [ 23 ], privacy concerns are still a major threat when using AI technologies such as ChatGPT (Generative Pretrained Transformer [ 24 ]) in education. These technologies use the data entered to train the model itself [ 25 ].…”

Ethical Dilemmas in Using AI for Academic Writing and an Example Framework for Peer Review in Nephrology Academia: A Narrative Review

“…The second layer was the editorial oversight, which should have flagged the issue before the paper was even sent for peer review. Currently, numerous AI solutions, such as GPTZero, Turnitin AI detection, and AI Detector Pro, have been created for students, research mentors, educators, journal editors, and others to identify texts produced by ChatGPT, though the majority of these tools operate on a subscription model [ 44 ]. The third layer was the peer-review process itself, intended to be a stringent evaluation of a paper’s merit and originality.…”

Performance of GPT-4 and mainstream Chinese Large Language Models on the Chinese Postgraduate Examination dataset: Potential for AI-assisted Traditional Chinese Medicine

“…Particularly noteworthy is the emergence of products like ChatGPT (OpenAI, 2022), signaling a new era for the deployment of general-domain AI 6 . Currently, LLMs have demonstrated promising applications in various areas of medical research, including diagnostics 7 , medical image analysis 8 , medical writing 9 , and personalized medicine 10 . The Medical Licensing Examination is commonly used to assess the performance of LLMs in the medical eld due to its high standardization, regulation, and comprehensive coverage of various subjects.…”