5G+AI技术赋能医学本科教学改革的相关探索

Exploration of 5G+AI technology empowering medical undergraduate teaching reform

医学本科教学一直面临着理论与实践不均衡、教学模式陈旧等问题。近年来,5G和人工智能(AI)的迅猛发展为医学本科教学改革提供了新机遇。本综述旨在分析5G+AI技术在医学本科教学中的应用,探讨其对教学内容、教学方法、基础设施与资源、数据隐私与安全等方面的影响,并展望未来的发展方向。通过对医学本科教学现状进行详细分析,发现传统教学存在的问题,探讨5G+AI技术如何赋能医学本科教学改革,包括理论课程的在线图书馆应用、AI辅助教学、临床技能中心的5G化等方面,综合考察该技术在推进AI应用、革新医学课程体系、实现仿真模拟等方面的优势,同时对5G+AI技术在医学本科教学中面临的挑战进行分析。5G+AI技术在医学本科教学改革中具有广阔前景,可以通过提高教学效果、个性化教学、实现虚拟实践等方式全面推进医学本科教学水平。然而,要充分发挥其优势,还需解决基础设施建设、教师培训、数据隐私等方面的挑战。期望通过该技术的应用,实现医学本科教学更科学、更高效的目标。

Medical undergraduate teaching has always been faced with the problems of unbalanced theory and practice,outdated teaching mode and so on.In recent years,the rapid development of 5G and artificial intelligence(AI)has provided new opportunities for medical undergraduate teaching reform.This review aims to analyze the application of 5G+AI technology in medical undergraduate teaching,explore its impact on teaching content,teaching methods,infrastructure and resources,data privacy and security,and look forward to the future development direction.Through a detailed analysis of the current situation of medical undergraduate teaching,this paper finds out the problems existing in traditional teaching,and discusses how 5G+AI technology can empower medical undergraduate teaching reform,including online library application of theoretical courses,AI-assisted teaching,5G of clinical skills center,etc.The advantages of this technology in promoting AI application,innovating medical curriculum system,and realizing simulation are comprehensively investigated.At the same time,the challenges faced by 5G+AI technology in medical undergraduate teaching are analyzed.5G+AI technology has broad prospects in the medical undergraduate teaching reform.It can comprehensively promote the level of medical undergraduate teaching by improving teaching effect,personalized teaching,and virtual practice.However,in order to give full play to its advantages,it is necessary to solve the challenges of infrastructure construction,teacher training,data privacy and so on.It is expected to achieve a more scientific and efficient goal of medical undergraduate teaching through the application of this technology.