PDF(Pubmed)
Abstract：
UNASSIGNED: ChatGPT has a wide range of applications in the medical field. Therefore, this review aims to define the key issues and provide a comprehensive view of the literature based on the application of ChatGPT in medicine.
UNASSIGNED: This scope follows Arksey and O\'Malley\'s five-stage framework. A comprehensive literature search of publications (30 November 2022 to 16 August 2023) was conducted. Six databases were searched and relevant references were systematically catalogued. Attention was focused on the general characteristics of the articles, their fields of application, and the advantages and disadvantages of using ChatGPT. Descriptive statistics and narrative synthesis methods were used for data analysis.
UNASSIGNED: Of the 3426 studies, 247 met the criteria for inclusion in this review. The majority of articles (31.17%) were from the United States. Editorials (43.32%) ranked first, followed by experimental studys (11.74%). The potential applications of ChatGPT in medicine are varied, with the largest number of studies (45.75%) exploring clinical practice, including assisting with clinical decision support and providing disease information and medical advice. This was followed by medical education (27.13%) and scientific research (16.19%). Particularly noteworthy in the discipline statistics were radiology, surgery and dentistry at the top of the list. However, ChatGPT in medicine also faces issues of data privacy, inaccuracy and plagiarism.
UNASSIGNED: The application of ChatGPT in medicine focuses on different disciplines and general application scenarios. ChatGPT has a paradoxical nature: it offers significant advantages, but at the same time raises great concerns about its application in healthcare settings. Therefore, it is imperative to develop theoretical frameworks that not only address its widespread use in healthcare but also facilitate a comprehensive assessment. In addition, these frameworks should contribute to the development of strict and effective guidelines and regulatory measures.
UNASSIGNED: This scope follows Arksey and O\'Malley\'s five-stage framework. A comprehensive literature search of publications (30 November 2022 to 16 August 2023) was conducted. Six databases were searched and relevant references were systematically catalogued. Attention was focused on the general characteristics of the articles, their fields of application, and the advantages and disadvantages of using ChatGPT. Descriptive statistics and narrative synthesis methods were used for data analysis.
UNASSIGNED: Of the 3426 studies, 247 met the criteria for inclusion in this review. The majority of articles (31.17%) were from the United States. Editorials (43.32%) ranked first, followed by experimental studys (11.74%). The potential applications of ChatGPT in medicine are varied, with the largest number of studies (45.75%) exploring clinical practice, including assisting with clinical decision support and providing disease information and medical advice. This was followed by medical education (27.13%) and scientific research (16.19%). Particularly noteworthy in the discipline statistics were radiology, surgery and dentistry at the top of the list. However, ChatGPT in medicine also faces issues of data privacy, inaccuracy and plagiarism.
UNASSIGNED: The application of ChatGPT in medicine focuses on different disciplines and general application scenarios. ChatGPT has a paradoxical nature: it offers significant advantages, but at the same time raises great concerns about its application in healthcare settings. Therefore, it is imperative to develop theoretical frameworks that not only address its widespread use in healthcare but also facilitate a comprehensive assessment. In addition, these frameworks should contribute to the development of strict and effective guidelines and regulatory measures.
摘要：
■ChatGPT在医疗领域具有广泛的应用。因此,这篇综述旨在根据ChatGPT在医学中的应用来定义关键问题并提供文献的全面视图。
■这个范围遵循Arksey和O\'Malley的五阶段框架。对出版物进行了全面的文献检索（2022年11月30日至2023年8月16日）。检索了六个数据库，并系统地编目了相关参考文献。注意力集中在文章的一般特征上，他们的应用领域，以及使用ChatGPT的优缺点。采用描述性统计和叙事综合法进行数据分析。
■在3426项研究中，247符合纳入本审查的标准。大多数文章（31.17％）来自美国。社论(43.32%)排名第一,其次是实验研究(11.74%)。ChatGPT在医学上的潜在应用是多种多样的，探索临床实践的研究数量最多(45.75%)，包括协助临床决策支持和提供疾病信息和医疗建议。其次是医学教育（27.13％）和科学研究（16.19％）。在学科统计中特别值得注意的是放射学，手术和牙科在列表的顶部。然而,ChatGPT在医学上也面临着数据隐私的问题，不准确和抄袭。
■ChatGPT在医学中的应用侧重于不同的学科和一般的应用场景。ChatGPT具有自相矛盾的性质：它提供了显着的优势，但同时也引起了人们对其在医疗保健环境中的应用的极大关注。因此,必须制定理论框架，不仅解决其在医疗保健中的广泛使用，而且促进全面评估。此外,这些框架应有助于制定严格有效的准则和监管措施。
■这个范围遵循Arksey和O\'Malley的五阶段框架。对出版物进行了全面的文献检索（2022年11月30日至2023年8月16日）。检索了六个数据库，并系统地编目了相关参考文献。注意力集中在文章的一般特征上，他们的应用领域，以及使用ChatGPT的优缺点。采用描述性统计和叙事综合法进行数据分析。
■在3426项研究中，247符合纳入本审查的标准。大多数文章（31.17％）来自美国。社论(43.32%)排名第一,其次是实验研究(11.74%)。ChatGPT在医学上的潜在应用是多种多样的，探索临床实践的研究数量最多(45.75%)，包括协助临床决策支持和提供疾病信息和医疗建议。其次是医学教育（27.13％）和科学研究（16.19％）。在学科统计中特别值得注意的是放射学，手术和牙科在列表的顶部。然而,ChatGPT在医学上也面临着数据隐私的问题，不准确和抄袭。
■ChatGPT在医学中的应用侧重于不同的学科和一般的应用场景。ChatGPT具有自相矛盾的性质：它提供了显着的优势，但同时也引起了人们对其在医疗保健环境中的应用的极大关注。因此,必须制定理论框架，不仅解决其在医疗保健中的广泛使用，而且促进全面评估。此外,这些框架应有助于制定严格有效的准则和监管措施。
