Artificial Intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize various aspects of healthcare, medical education, and research. In this narrative review, we evaluate the myriad applications of ChatGPT in diverse healthcare domains. We discuss its potential role in clinical decision-making, exploring how it can assist physicians by providing rapid, data-driven insights for diagnosis and treatment. We review the benefits of ChatGPT in personalized patient care, particularly in geriatric care, medication management, weight loss and nutrition, and physical activity guidance. We further delve into its potential to enhance medical research, through the analysis of large datasets, and the development of novel methodologies. In the realm of medical education, we investigate the utility of ChatGPT as an information retrieval tool and personalized learning resource for medical students and professionals. There are numerous promising applications of ChatGPT that will likely induce paradigm shifts in healthcare practice, education, and research. The use of ChatGPT may come with several benefits in areas such as clinical decision making, geriatric care, medication management, weight loss and nutrition, physical fitness, scientific research, and medical education. Nevertheless, it is important to note that issues surrounding ethics, data privacy, transparency, inaccuracy, and inadequacy persist. Prior to widespread use in medicine, it is imperative to objectively evaluate the impact of ChatGPT in a real-world setting using a risk-based approach.

人工智能，特别是 ChatGPT 等高级语言模型，有可能彻底改变医疗保健、医学教育和研究的各个方面。在这篇叙述性评论中，我们评估了 ChatGPT 在不同医疗保健领域的无数应用。我们讨论它在临床决策中的潜在作用，探索它如何通过提供快速、数据驱动的诊断和治疗见解来帮助医生。我们回顾了 ChatGPT 在个性化患者护理方面的优势，特别是在老年护理、药物管理、减肥和营养以及身体活动指导方面。我们通过分析大型数据集和开发新方法，进一步深入探讨其增强医学研究的潜力。在医学教育领域，我们研究了 ChatGPT 作为医学生和专业人员的信息检索工具和个性化学习资源的实用性。 ChatGPT 有许多有前景的应用，它们可能会引发医疗保健实践、教育和研究领域的范式转变。 ChatGPT 的使用可能会给临床决策、老年护理、药物管理、减肥和营养、身体健康、科学研究和医学教育等领域带来多种好处。然而，值得注意的是，围绕道德、数据隐私、透明度、不准确和不足的问题仍然存在。在广泛应用于医学之前，必须使用基于风险的方法客观评估 ChatGPT 在现实环境中的影响。