With the rapid development of artificial intelligence and natural language processing technologies, ChatGPT (Chat Generative Pre-trained Transformer) has been preliminarily applied in the medical domain. ChatGPT has the advantage of generating coherent and logically reasonable natural language based on big data, and some scholars have conducted preliminary discussions on its application and effectiveness in the medical domain. This article will summarize the application progress of ChatGPT in medical education, assisted clinical decision-making, and medical research based on the authors’ experience in applying ChatGPT, and look forward to its future development trends. At the same time, this article will also conduct an in-depth analysis of the challenges and limitations of ChatGPT in practical medical applications, laying the foundation for the standardized use of ChatGPT in the medical domain.
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.
As one of the hottest artificial intelligence technologies currently, ChatGPT, as one of the hottest artificial intelligence technologies today, plays a significant role in advancing the field of evidence-based medicine, particularly in expanding the sources of original evidence, enhancing the efficiency of evidence acquisition, aiding in shared decision-making between doctors and patients, and promoting education in evidence-based medicine and public science education. Presently, ChatGPT is in its "technological budding phase" and it is crucial to be wary of the risks it brings, such as "evidence contamination", algorithmic black boxes, security vulnerabilities, and the digital divide. To balance the positive effects and potential risks of ChatGPT in the realm of evidence-based medicine, we offer countermeasures and suggestions from the perspectives of ChatGPT's ethical standards, evidence sources, expert verification, and usage norms.
Following the rapid advancement of artificial intelligence technologies, especially the development of large language models like ChatGPT, the field of medical clinical practice is undergoing an unprecedented technological revolution. These advanced technologies, through efficient processing and analysis of large datasets, not only provide medical professionals with auxiliary diagnoses and treatment suggestions but also significantly enhance the quality and efficiency of medical education. This study conducts a comprehensive analysis and review of the applications of large language models in various aspects, including clinical inquiry, history collection, medical literature writing, clinical decision support, optimization of medical portal websites, patient health management, medical education, academic research, and scientific writing. However, the application of these technologies is not without flaws and presents several limitations and ethical challenges. This paper focuses on challenges related to technological errors, academic dishonesty, abuse risks, over-reliance, possibilities of misdiagnosis and treatment errors, and issues of accountability. In conclusion, large language models demonstrate tremendous potential in the integration and advancement of medical practices. Nevertheless, while fully harnessing the benefits brought by ChatGPT, it is essential to acknowledge and address these ethical challenges to ensure that the application of ChatGPT in the medical field is responsible and effective.