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.
Natural language processing (NLP) is the embodiment of computer intelligence in acquiring knowledge, understanding, processing and expressing consciously and actively. It is the scientific key to promoting the informatization of medical practice and research. This paper reviews the development history and research basis of NLP, and focuses on the current application of NLP and large language models in biomedicine and traditional Chinese medicine (TCM), including the intelligent reading, information extraction and feedback of medical texts and ancient books of TCM, as well as the construction of medical knowledge graph and question-answering system. NLP is the technical support to explore the treasure house of TCM, which is of great practical significance to further promote the development of efficient and high-quality core values of TCM and to improve the service capacity.
