人工智能背景下“新医科”课程建设的挑战与变革
华北理工大学, 冀唐学院, 河北唐山 063210
| 摘 要： | “双万计划”服务的对象是全面振兴本科教育、提高高校人才培养能力这一具体目标。要求突出示范领跑，建设新工科、新医科、新农科、新文科示范性本科专业，引领带动高校优化专业结构、促进专业建设质量提升，推动形成高水平人才培养体系。生命科学和生物学的理论和方法而发展起来的前沿交叉学科，基本任务是运用生物学及工程技术手段研究和解决生命科学，特别是医学中的有关问题。人工智能、大数据等新兴信息技术在生物医学领域中已经得到广泛应用，根据医学高校“人工智能”教育发展需要，拓展了人工智能在医学中的应用；依据教学设计理论构建“人工智能”教学设计模式，并在具体课程中实践和改进创新，结合高校生物医学实验运算实际需求，依托北京捷冠科技有限公司的技术力量和社会资源，探究人工智能与医院、医疗企业和科研院所等优势互补的协同育人机制构建协同育人机制，以更加广阔全面的视角，多维度的去探索医学专业知识的深层次内容，从而激发学生进行的科技创新潜力与兴趣。 |
| 关 键 词： | 新医科; 人工智能; 课程建设 |
| DOI： | 10.57237/j.jeit.2022.01.006 |
View:
Downloads:
收稿日期: 2022-10-09
接受日期: 2022-12-05
在线出版日期: 2023-01-05
Challenges and Changes of “New Medical Science” Curriculum Construction Under the Background of Artificial Intelligence
Ji Tang College, North China University of Science and Technology, Tangshan 063210, China
| 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. |
| Keywords: | New Medicine; Artificial Intelligence; Curriculum Development |
参考文献
| [1] | Coles L S. The application of artificial intelligence to medicine [J]. Futures, 1977: 315-323. |
| [2] | Niels P, Carlo C, Roque M, et al. Thirty years of artificial intelligence in Medicine (AIME) conferences: a review of research themes. Artificial Intelligence in Medicine, 2015, 65: 61-73. |
| [3] | 杨琴, 陈家荣. 人工智能在医学领域中的应用 [J]. 科技风, 2012 (12): 100-101. |
| [4] | Kahn C E. From images to actions: opportunities for artificial intelligence in radiology. Radiology, 2017, 285: 719-720. |
| [5] | Fedorov A V, Kriger A G, Berelavichus S V, et al. Robotic- assisted abdominal surgery. Khirurgiia (Mosk), 2010, (1): 16-21. |
| [6] | 吉翔, 于建平, 石鑫, 等. 全机器人下远端胃癌根治术的近期疗效 [J]. 华南国防医学杂志, 2018, 32 (2): 91-93. |
| [7] | 杨阳, 赵晓智, 姚林方, 等. 机器人辅助腹腔镜下射频消融术治疗肾肿瘤的临床观察 [J]. 临床泌尿外科杂志, 2018, 33 (2): 152-159. |
| [8] | 史博文, 孙冰生, 岳东升, 等. 达芬奇手术系统与胸腔镜在肺癌根治术中的对比分析 [J]. 肿瘤防治研究, 2018, 45 (2): 91-95. |
| [9] | 姜晓坤, 朱泓, 李志义. 新工科人才培养新模式 [J]. 高教发展与评估, 2018, 2 (34): 17-24. |
| [10] | 盛振文. 全域教育视角下的高校人才培养模式优化 [J]. 中国高等教育, 2018, 8: 23-25. |
| [11] | 郁仁强, 张志伟, 黄扬, 吕发金, 周旸. 新医科背景下医学影像技术本科专业建设及思考 [J]. 继续医学教育 2021, 9 (35): 42-44. |
| [12] | 尚丽丽. 新医科背景下医学研究生教育的思考 [J]. 医学研究生学报, 2018, 31(10): 1078-1081. |
| [13] | 潘玉梅, 张雪君, 于春水, 等. 新时代下医学影像本科人才培养模式的改革与实践 [J]. 医学教育管理 2018, 4 (4): 272-275. |
| [14] | 郑燕华. “四段融合、海陆互通”人才培养体系研究——以国际邮轮乘务管理专业为例 [J]. 教育理论与实践, 2019, 39 (6): 28-30. |
| [15] | 李鹏, 孙静, 段云燕等. 医学影像技术专业认同教育研究 [J]. 医学信息, 2018, 31 (14): 11-12. |
