Ruksakulpiwat Suebsarn, Kumar Ayanesh, Ajibade Anuoluwapo
Department of Medical Nursing, Faculty of Nursing, Mahidol University, Bangkok, Thailand.
School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
J Multidiscip Healthc. 2023 May 30;16:1513-1520. doi: 10.2147/JMDH.S413470. eCollection 2023.
This review aims to evaluate the current evidence on the use of the Generative Pre-trained Transformer (ChatGPT) in medical research, including but not limited to treatment, diagnosis, or medication provision.
This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched Google Scholar, Web of Science, PubMed, and Medline to identify studies published between 2022 and 2023 that aimed to utilize ChatGPT in medical research. All identified references were stored in EndNote.
We initially identified 114 articles, out of which six studies met the inclusion and exclusion criteria for full-text screening. Among the six studies, two focused on drug development (33.33%), two on literature review writing (33.33%), and one each on medical report improvement, provision of medical information, improving research conduct, data analysis, and personalized medicine (16.67% each).
ChatGPT has the potential to revolutionize medical research in various ways. However, its accuracy, originality, academic integrity, and ethical issues must be thoroughly discussed and improved before its widespread implementation in clinical research and medical practice.
本综述旨在评估关于生成式预训练变换器（ChatGPT）在医学研究中应用的现有证据，包括但不限于治疗、诊断或药物提供方面。
本综述遵循系统评价和Meta分析的首选报告项目（PRISMA）指南。我们在谷歌学术、科学网、PubMed和Medline上进行搜索，以识别2022年至2023年间旨在将ChatGPT用于医学研究的已发表研究。所有识别出的参考文献都存储在EndNote中。
我们最初识别出114篇文章，其中六项研究符合全文筛选的纳入和排除标准。在这六项研究中，两项聚焦于药物研发（33.33%），两项聚焦于文献综述撰写（33.33%），另外四项分别聚焦于医学报告改进、医学信息提供、改善研究开展、数据分析以及个性化医疗（各占16.67%）。
ChatGPT有潜力在多个方面彻底改变医学研究。然而，在其广泛应用于临床研究和医学实践之前，必须对其准确性、原创性、学术诚信和伦理问题进行充分讨论并加以改进。
