论文标题
Learn2 Trust：针对医学生的基于AI的医学图像分析的视频和简化教育计划
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students
论文作者
论文摘要
为了能够在不怀疑的情况下使用人工智能（AI）在医学中，并认识到并评估其日益增长的潜力，对当前和未来的医务人员来说，对该主题的基本了解是必要的。在“通过理解”的前提下，我们在德国Ki校园（AI校园）项目的框架内开发了一门创新的在线课程，该课程是一个自导的课程，它教授AI的基础知识，以分析医疗图像数据。主要目标是提供一个学习环境，以充分了解医学图像分析中的AI，以便通过积极的应用经验来克服对该主题的进一步兴趣，并可以抑制对其使用的抑制。重点是医疗应用和机器学习的基础。在线课程分为连续的课程，其中包括以解释性视频的形式，以简化和实用练习和/或测验形式进行的实践练习，以检查学习进度。在课程的第一次跑步中，参与医学生的一项调查用于定量分析我们的研究假设。
In order to be able to use artificial intelligence (AI) in medicine without scepticism and to recognise and assess its growing potential, a basic understanding of this topic is necessary among current and future medical staff. Under the premise of "trust through understanding", we developed an innovative online course as a learning opportunity within the framework of the German KI Campus (AI campus) project, which is a self-guided course that teaches the basics of AI for the analysis of medical image data. The main goal is to provide a learning environment for a sufficient understanding of AI in medical image analysis so that further interest in this topic is stimulated and inhibitions towards its use can be overcome by means of positive application experience. The focus was on medical applications and the fundamentals of machine learning. The online course was divided into consecutive lessons, which include theory in the form of explanatory videos, practical exercises in the form of Streamlit and practical exercises and/or quizzes to check learning progress. A survey among the participating medical students in the first run of the course was used to analyse our research hypotheses quantitatively.
