Abstract: With the deepening development of artificial intelligence (AI) applications, there is an urgent need for atransformation in college English teaching, particularly graduate English teaching, from traditional face-to-face classroomsto intelligent online teaching platforms with deep technological integration. Capital Medical University (CMU) hasdeveloped the Xuetangyun Online Learning Platform, which integrates functions such as AI learning companions,differentiated teaching, and intelligent course creation to establish a "technology-empowered teaching" system. Taking theAI-supported course Medical English Terminology offered to CMU graduate students as an example, this paper explores theapplicability and effectiveness of the "AI + online course" model in medical English teaching. Statistical data from 131 validquestionnaires completed by CMU master's students show that the platform enables personalized course guidance and AIassisted learning, effectively enhancing students' language application abilities and learning engagement. Additionally, theresults indicate high satisfaction among graduate students with the medical English course content, teaching arrangements,and AI learning companion functions on the platform. Perceived ease of use and perceived usefulness both show significantpositive correlations with usage frequency. This study demonstrates that the CMU Xuetangyun Platform can effectivelyaddress three major challenges in graduate medical English teaching and provides a replicable and scalable practical pathwayfor the digital transformation of graduate English teaching.