Multimorbidity is becoming a major issue in global health due to the increased prevalence of chronic diseases and the accelerated aging of the population. Clinical practice guidelines, as key tools for guiding clinical practice, play an important role in the field of multimorbidity, but also face many challenges. In this paper, we will review the necessity of developing multimorbidity guidelines, the current situation, challenges and opportunities, and on this basis, we will put forward our thoughts and suggestions to promote the development of guidelines in the field of multimorbidity in China.
Large Language Models (LLMs) are highly sophisticated deep learning models pre-trained on massive datasets, with ChatGPT representing a prominent application of LLMs in the field of generative models. Since the release of ChatGPT at the end of 2022, generative chatbots have become widely employed across various medical disciplines. As a crucial discipline guiding clinical practices, the usage of generative chatbots like ChatGPT in Evidence-Based Medicine (EBM) is gradually increasing. However, the potential, challenges, and intricacies of their application in the domain of EBM remain unclear. This paper aims to explore and discuss the prospects, challenges, and considerations associated with the application of ChatGPT in the field of EBM through a review of relevant literature. The discussion spans four aspects: evidence generation, synthesis, assessment, dissemination, and implementation, providing researchers with insights into the latest developments and future research suggestions.