Exploration of general practitioner training model based on artificial intelligence technology

General practitioners (GPs) aim at maintaining the health of residents. They can supply the health service needs of residents in their communities and provide them with treatment, health knowledge popularization, disease prevention and other health services. China's general practice is in a rapid development stage. In recent years, our country has also been increasing the investment in the social medical field and general practice teaching in colleges and universities. However, the number of GPs is seriously insufficient and the medical level is limited, which restricts the improvement of basic medical and health services. Moreover, during the training of GPs, it faces various challenges such as insufficient teachers, a single training model, insufficient frontiers of teaching content, insufficient breadth of knowledge involved, difficulties in continuing education, and low professional appeal. Therefore, the model and training system need to be further improved and enriched. With the continuous development of science and technology, artificial intelligence (AI) has made great achievements in education, medicine and other fields, which also brings new opportunities for the reform of the training mode of general practitioners in China. AI has many advantages such as mass integration, information mining, and personalization. Taking the AI express train to comprehensively empower GP training will greatly enrich the training mode of GPs and effectively enhance the professional appeal of GPs. It is very important to promote the cultivation of qualified, reliable and high-level GPs in batches and the construction of excellent GPs at the grassroots level. The purpose of this article is to present the problems faced in the training of traditional GPs, to discover the opportunity of combining AI and GP training, to explore new solutions of GP training based on AI technology, so as to provide reference for AI to assist the training of GPs in China, and to carry out the development prospects and development directions of this model looking forward.