基于人工智能的生殖医学教学培养策略与改革探讨OA

As a highly interdisciplinary and rapidly evolving field,reproductive medicine faces significant challenges in bridging foundational theory with clinical practice,fostering multidisciplinary integration,and applying artificial intelligence(AI)technologies in education.Current teaching models suffer from an underdeveloped curriculum system,limited clinical practice opportunities,insufficient interdisciplinary collaboration,and lagging application of AI technologies.In response to the shift in educational paradigms,this paper proposes a new AI-empowered teaching strategy.It systematically elaborates on approaches including AI-based personalized learning systems and virtual case-based teaching,innovations in ethical reasoning education,AI and virtual reality-integrated experimental and operational training,sub-specialization in genetics,and interdisciplinary training models.These strategies aim to promote systematic,intelligent,and collaborative innovation in reproductive medi-cine education,providing valuable insights for the cultivation of medical talents and the high-quality development of the discipline.