Traditional Chinese medicine(TCM)is an integral part of traditional medicine in China,with a rich theoretical basis and valuable practical experience. However,the advancement of TCM necessitates diverse tools to support its intelligent development. With the rapid advancements in natural language processing technology and artificial intelligence,the application of large language models(LLMs)has garnered widespread attention in the field of medical health. This paper focusedon exploring the potential application of LLMs in the field of TCM,aiming to provide insights for intelligent research and practice in this domain. Firstly,it provided an overview of the development of LLMs in medicine,introduced the concept and development history of such models,and presented the current research status in the biomedical field. Subsequently,the paper delved into the potential application of large language models in TCM,considered associated risks and challenges,and provided recommendations to address these issues. Finally,it outlined the future development direction of large language models in the field of TCM.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |