Challenges and Changes of “New Medical Science” Curriculum Construction Under the Background of Artificial Intelligence

Abstract

The target of the “Double 10000 Plan” is to comprehensively revitalize undergraduate education and improve the talent training ability of colleges and universities. It is required to highlight demonstration and leadership, build new engineering, medical, agricultural and liberal arts demonstration undergraduate majors, lead and drive universities to optimize the professional structure, promote the quality of professional construction, and promote the formation of a high-level talent training system. The basic task of the frontier interdisciplinary discipline developed from the theories and methods of life science and biology is to use biological and engineering technology to research and solve the relevant problems in life science, especially in medicine. Artificial intelligence, big data and other emerging information technologies have been widely used in the biomedical field. According to the needs of the development of “Artificial intelligence “education in medical colleges and universities, the application of artificial intelligence in medicine has been expanded, the teaching design model of “Artificial intelligence” has been constructed according to the teaching design theory, and the practice and innovation of “Artificial intelligence” have been improved in the concrete courses, according to the actual needs of biomedical experiments in universities, relying on the technical force and social resources of Beijing Jieguan Technology Co., Ltd., to explore the cooperative education mechanism with the complementary advantages of artificial intelligence and hospitals, medical enterprises and scientific research institutes, and to construct the cooperative education mechanism, so as to actively expand the breadth and depth of students’ medical professional knowledge in all directions and from many angles, improving students’ ability of scientific and technological innovation.