【摘要】 医药文献检索课是中药本科教学中的重要基础课程，对培养中药九年制学生的信息素养至关重要。随着人工智能（AI）技术的迅猛发展及其在权威医药数据库中的广泛应用，传统医药文献检索课程面临着全新的挑战与机遇。该文通过系统梳理医药文献检索领域常用的人工智能工具，立足于中药学九年制的人才培养目标，结合当下本科生的特点，围绕医药文献检索的智能化转型，对该课程的教学目标、教学内容与方法展开改革探索，旨在全面提升学生的信息素养与科研创新能力，同时也为目标在于培养高素质创新性人才的中药长学制的课程建设提供参考。更多还原

【Abstract】 The Medical Literature Retrieval course is an important basic course in the undergraduate teaching of Traditional Chinese Medicine(TCM), which is also crucial for cultivating the information literacy of students in the nine-year-length of schooling of TCM. With the rapid advancement of artificial intelligence(AI) technology and its widespread application in authoritative medical databases, the traditional Medical Literature Retrievalcourse is facing both new challenges and opportunities.By systematically sorting out the commonly used AI tools in the field of medical literature retrieval, based on the talent training objectives for the nine-year-length of schooling of TCM, and combined with the characteristics of current undergraduates, this paper carries out reform exploration on the teaching goals, teaching contents and methods of this course, aiming to comprehensively improve students’ information literacy and scientific research innovation ability, and provide a reference for the curriculum construction of the long-term program in TCM, which aims to cultivate high-quality innovative talents.更多还原