The application of big language models in medicine may become a trend in the future. In clinical consultation stages such as triage and consultation, models are used to interact with patients, collect complete and accurate information and form preliminary opinions, which are then handed over to professional doctors for final judgment. This can to some extent reduce misdiagnosis and missed diagnosis caused by insufficient information collection and unclear patient complaints. Have you ever thought that artificial intelligence may be the future consultation for you? According to reports, large language models for seeking medical advice have emerged in China, and vertical fields such as the medical examination industry are also accelerating the layout of corresponding large language models. Moreover, the journal Nature recently published a paper showcasing a benchmark for evaluating the overall performance of large language models in medical problems. So, is it possible to use big language models for seeking medical advice as a trend? What is its technical principle, and how should it be regulated and evaluated? With these questions in mind, the reporter interviewed relevant experts. The release of ChatGPT, a major language model for medical examination, has sparked a wave of research and development among domestic enterprises. The speed of progress in the application of artificial intelligence in medicine has not been fast before. Can we take advantage of this wave of big language model development to push AI medicine, which requires high professionalism and accuracy, into a fast lane of development? This has become the focus of attention now, "said Liu Si, Algorithm Director of the Digital Operations Management Center of Guangzhou Jinyu Medical Inspection Group Co., Ltd. (hereinafter referred to as Jinyu Medical). Although the field of "Big Language Model+Medicine" started relatively late in China, it is also a "Eight Immortals Crossing the Sea, Each Showing Their Spirits". In May of this year, the Internet hospital, the Medical Union, took the lead in releasing the first medical big language model in China based on the Transformer architecture - MedGPT. In the field of medical examination, Jinyu Medical is collaborating with industry giants such as Huawei Cloud to develop a big language model for the medical examination industry that focuses on intelligent clinical consultation, intelligent recommendation of testing projects, and generation and interpretation of intelligent testing reports. At present, there are also some medical consultation robots on the internet that do not have the support of big language models. How is this robot different from the medical consultation robot supported by the big language model? Under the support of the big language model, consultation services will have better flexibility. When patients cannot describe their symptoms in professional terms or their answers do not follow the predetermined path, the big language model has more flexible coping ability. Liu Si revealed that using these characteristics, they are training the medical examination big model and hope to create artificial intelligence medical examination consultants through this. It is expected to reduce misdiagnosis and missed diagnosis, and provide inclusive medical services. Currently, medical examination services are becoming increasingly specialized, precise, and personalized. Taking Jinyu Medicine, the construction unit of Guangdong Province's new generation artificial intelligence open innovation platform, as an example, it has established a layout in the field of medical examination generative artificial intelligence. Currently, it has established a standard reporting language specification and a high-quality specialized disease database, and is exploring the use of pre trained models in fields such as medical text entity extraction and pathological report structuring. The interviewed experts unanimously believe that in the future, applying the big language model to medicine may become a