“五位一体”——医学人工智能类人才培养模式设计
“Five in One”—Design of Medical Artificial Intelligence Talent Training Model
DOI: 10.12677/ces.2024.1212882, PDF,    科研立项经费支持
作者: 尹梓名, 何 宏, 周 雷, 林 勇:上海理工大学健康科学与工程学院,上海
关键词: 医学人工智能科研项目课程人才培养Artificial Intelligence in Medicine Scientific Research Project Courses Talent Cultivation
摘要: 随着大数据和人工智能技术的发展,医学人工智能已成为一门新兴的交叉学科,但目前市场上还比较缺乏此类人才,高校中还没有完善的人才培养方式。文章依托的医学信息工程教学团队以多年的医学信息化和智能化人才培养经验,以科研项目课程为突破口,设计了一套包含教、学、练、研、评,“五位一体”的医学人工智能类人才培养模式,涵盖了医学人工智能人才培养的诸多方面。并依托国家重点研发计划的科研项目,详细分析、展示了如何按照“五位一体”的方法实施科研项目课程,列出具体的授课内容。
Abstract: With the development of big data and artificial intelligence technologies, medical artificial intelligence has become an emerging interdisciplinary discipline. However, there is still a shortage of such talents in the market currently, and there is no perfect talent cultivation method in colleges and universities. The medical information engineering teaching team relied on by this project, based on years of experience in cultivating medical informatization and intelligent talents, takes scientific research project courses as a breakthrough point and designs a set of “five-in-one” talent cultivation model for medical artificial intelligence talents, which includes teaching, learning, practicing, researching, and evaluating and covers many aspects of cultivating medical artificial intelligence talents. Relying on the scientific research projects of the national key research and development plan, it analyzes and demonstrates in detail how to implement the scientific research project courses according to the “five-in-one” method and lists the specific teaching contents.
文章引用:尹梓名, 何宏, 周雷, 林勇. “五位一体”——医学人工智能类人才培养模式设计[J]. 创新教育研究, 2024, 12(12): 211-217. https://doi.org/10.12677/ces.2024.1212882

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