大数据时代下基于医工融合的医疗人工智能创新研究短课的探索与实践
Exploration and Practice of Short Courses on Innovative Research in Medical Artificial Intelligence Based on the Integration of Medicine and Engineering in the Era of Big Data
余夏夏 1应颖 2陈思 2庄锦湖 3高毅 3王子梅2
作者信息
- 1. 深圳大学医学部生物医学工程学院;深圳大学医学部医学教育发展中心
- 2. 深圳大学医学部医学教育发展中心;深圳大学医学部基础医学院,广东深圳 518060
- 3. 深圳大学医学部生物医学工程学院
- 折叠
摘要
人工智能医疗愈发受到关注和重视,然而如何培养"人工智能+医学"人才尚无普遍适用的方案,众多教学理念与模式仍处于探索期.文章结合本科医学教育的学科特点和医疗人工智能的发展趋势,基于教授相关课程的教学实践经验,简要探讨培养医疗人工智能复合型人才的教学模式,探索人工智能推动下的医工融合的复合型人才培养方案.
Abstract
Artificial intelligence in healthcare has increasingly attracted attention and emphasis.However,there is still no universally applicable solution on how to cultivate talents in"artificial intelligence+medicine,"and many teaching concepts and models are still in the exploratory stage.This article briefly discusses the teaching model for cultivating composite talents in medical artificial intelligence based on the characteristics of undergraduate medical education and the development trends of medical artificial intelligence.It explores the training program for composite talents in"medicine-engineering integration"driven by artificial intelligence.
关键词
医工融合/医疗人工智能/创新研究短课/教学实践Key words
Medicine-engineering integration/Medical artificial intelligence/Innovative research short courses/Teaching practice引用本文复制引用
基金项目
广东省"质量工程"建设项目(2022)(2022-335)
中华医学会医学教育分会医学教育研究课题(2023B238)
广东省本科高等学校教学质量与教学改革工程项目(2022)(2022-835)
广东省本科高等学校在线开放课程指导委员会研究重点课题(2022ZXKC388)
广东省"新医科"教指委教学改革项目(2023-93)
出版年
2024
NETL
NSTL
维普
万方数据