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Teaching reform and practice of the linear algebra course for medical imaging technology major under the background of artificial intelligence

Published on Nov. 01, 2024Total Views: 1211 times Total Downloads: 210 times Download Mobile

Author: HAN Wenjing DONG Jianxin ZHOU Chen HU Lingjing

Affiliation: Department of Medical Imaging Technology, Capital Medical University Yanjing Medical College, Beijing 101300, China

Keywords: Artificial intelligence Medical imaging technology Linear algebra Interdisciplinary integration Teaching reform

DOI: 10.12173/j.issn.1004-4337.202409025

Reference: Han WJ, Dong JX, Zhou C, Hu LJ. Teaching reform and practice of the linear algebra course for medical imaging technology major under the background of artificial intelligence[J]. Journal of Mathematical Medicine, 2024, 37(10): 799-805. DOI: 10.12173/j.issn.1004-4337.202409025.[Article in Chinese]

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Abstract

In the context of the rapid development of artificial intelligence, the education of medical imaging technology faces new opportunities and challenges. At present, there are some problems in the teaching of linear algebra courses, such as the disconnection between the teaching content and the professional needs, the emphasis on theory, and the low interest of students in learning. Taking the linear algebra course of the four-year medical imaging technology major at Capital Medical University as an example, this paper summarized a series of teaching reform methods based on artificial intelligence. By building a case library, introducing Python programming, animations and interactive web pages, and combining them with the blended teaching mode, the ways of integrating artificial intelligence technology into the construction of the linear algebra course in medical imaging technology were explored.

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References

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