ChatGPT and other artificial intelligence chatbots and biomedical writing

doi:10.20517/jca.2023.13

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The authors also reflect on the potential impact of ChatGPT on writing, considering its advantages and limitations, and speculate on the future of this tool in the development of scientific content ( 11 , 24 , 34 - 35 , 37 , 55 - 56 , 59 , 63 ) . Furthermore, the researchers undertook an analysis to determine whether this AI in question should be recognized and considered as a legitimate author in academic productions ( 22 , 35 ) .…”

Section: Resultsmentioning

confidence: 99%

Using the Chat Generative Pre-trained Transformer in academic writing in health: a scoping review

Costa,

Nascimento,

Treviso

et al. 2024

Rev. Latino-Am. Enfermagem

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Objective: to map the scientific literature regarding the use of the Chat Generative Pre-trained Transformer, ChatGPT, in academic writing in health. Method: this was a scoping review, following the JBI methodology. Conventional databases and gray literature were included. The selection of studies was applied after removing duplicates and individual and paired evaluation. Data were extracted based on an elaborate script, and presented in a descriptive, tabular and graphical format. Results: the analysis of the 49 selected articles revealed that ChatGPT is a versatile tool, contributing to scientific production, description of medical procedures and preparation of summaries aligned with the standards of scientific journals. Its application has been shown to improve the clarity of writing and benefits areas such as innovation and automation. Risks were also observed, such as the possibility of lack of originality and ethical issues. Future perspectives highlight the need for adequate regulation, agile adaptation and the search for an ethical balance in incorporating ChatGPT into academic writing. Conclusion: ChatGPT presents transformative potential in academic writing in health. However, its adoption requires rigorous human supervision, solid regulation, and transparent guidelines to ensure its responsible and beneficial use by the scientific community.

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Section: Resultsmentioning

confidence: 99%

Using the Chat Generative Pre-trained Transformer in academic writing in health: a scoping review

Costa,

Nascimento,

Treviso

et al. 2024

Rev. Latino-Am. Enfermagem

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Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT

Abi‐Rafeh

Kazan

et al. 2023

Aesthetic Surgery Journal

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Background The rapidly evolving field of artificial intelligence (AI) holds great potential for plastic surgeons. ChatGPT, a recently released AI large language model (LLM), promises application across many disciplines, including healthcare. Objectives The aim of this article is to provide a plastic surgeon’s primer on AI, LLM, and ChatGPT, including an analysis of current demonstrated and proposed clinical applications. Methods A systematic review was performed identifying medical and surgical literature on ChatGPT’s proposed clinical applications. Variables assessed included applications investigated, command tasks provided, user input information, AI-emulated human skills, output validation, and reported limitations. Results The analysis included 175 articles reporting on 13 plastic surgery applications and 116 additional clinical applications, categorized by field and purpose. Thirty-four plastic surgery applications were varied in their target audience, including attending plastic surgeons (n=17, 50%), trainees/educators (n=8, 24.0%), researchers/scholars (n=7, 21%), and patients (n=2, 6%). The 15 identified limitations of ChatGPT were categorized by training data, algorithm, and ethical considerations. Conclusions Widespread use of ChatGPT in plastic surgery will depend on rigorous research of proposed applications to validate performance and address limitations. This systemic review aims to guide research, development, and regulation to safely adopt AI in plastic surgery.

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Exploring the Role of Chat GPT in patient care (diagnosis and Treatment) and medical research: A Systematic Review

Garg

Urs

Agrawal³

et al. 2023

Preprint

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Background ChatGPT(Chat Generative Pre-trained Transformer) is an artificial intelligence (AI) based on a natural language processing tool developed by OpenAI (California, USA). This systematic review examines the potential of Chat GPT in diagnosing and treating patients and its contributions to medical research. Methods In order to locate articles on ChatGPT's use in clinical practise and medical research, this systematic review used PRISMA standards and conducted database searches across several sources. Selected records were analysed using ChatGPT, which also produced a summary for each article. The resultant word document was transformed to a PDF and handled using ChatPDF. The review looked at topics pertaining to scholarly publishing, clinical practise, and medical research. Results We reviewed 118 publications. There are difficulties and moral conundrums associated with using ChatGPT in therapeutic settings and medical research. Patient inquiries, note writing, decision-making, trial enrolment, data management, decision support, research support, and patient education are all things that ChatGPT can help with. However, the solutions it provides are frequently inadequate and inconsistent, presenting issues with its originality, privacy, accuracy, bias, and legality. When utilising ChatGPT for academic writings, there are issues with prejudice and plagiarism, and because it lacks human-like characteristics, its authority as an author is called into question. Conclusions ChatGPT has limitations when used in research and healthcare. Even while it aids in patient treatment, concerns regarding accuracy, authorship, and bias arise. Currently, ChatGPT can serve as a "clinical assistant" and be a huge assistance with research and scholarly writing.

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ChatGPT and other artificial intelligence chatbots and biomedical writing

Cited by 4 publications

References 5 publications

Using the Chat Generative Pre-trained Transformer in academic writing in health: a scoping review

Using the Chat Generative Pre-trained Transformer in academic writing in health: a scoping review

Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT

Exploring the Role of Chat GPT in patient care (diagnosis and Treatment) and medical research: A Systematic Review

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