The Teaching Reform of Python Courses and Exploration of Medical Applications Based on the OBE Concept

在大数据的时代下，人工智能走进各行各业。医学人工智能这一方向的发展也逐渐成熟和深入。Python作为人工智能领域最通用的语言，要求每个医学生都能够掌握并熟悉应用。本文基于OBE理念，探讨Python教学的方式方法。课程内容以医学案例为导向，帮助学生掌握编程技能，并且理解如何在医学领域应用该能力。通过采用理论实践相结合，线上线下相结合的教学方式，综合评估学生的学习成果。该方式有效提高学生的学习积极性和参与度。文章还探讨了课程思政的融入，强调数据隐私、社会责任等问题，培养了学生的集体主义精神和团队合作能力，为未来新医学的发展储备人才。In the era of big data, artificial intelligence has entered various industries. The development of medical artificial intelligence is gradually maturing and deepening. Python, as the most widely used language in the field of artificial intelligence, requires every medical student to master and be familiar with its applications. This article explores the teaching methods of Python based on the OBE concept. The course content is guided by medical cases, helping students master programming skills and understand how to apply this ability in the medical field. By adopting a teaching approach that combines theory and practice, as well as online and offline methods, students’ learning outcomes are comprehensively evaluated. This method effectively improves students’ learning enthusiasm and participation. The article also explores the integration of ideological and political education into the curriculum, emphasizing issues such as data privacy and social responsibility, cultivating students’ collectivist spirit and teamwork ability, and reserving talents for the future development of new medicine.