通讯作者: 廖萱, aleexand@163.com

DOI：10.12201/bmr.202609.00001

Applications and Challenges of Artificial Intelligence-Empowered Core Competencies in Standardized Ophthalmology Residency Training

• 摘要：住院医师规范化培训是医学生向眼科专科医师转型的核心环节，当前我国眼科住培面临区域资源分布不均、知识扩容难以内化、临床实践机会不足、传统教学模式滞后等多重困境。人工智能(artificial intelligence，AI)的快速发展为眼科住培的数智化转型提供了重要机遇。本文立足胜任力导向医学教育理念，系统梳理AI在六大核心胜任力维度的赋能应用路径，明确各个维度的人机协同边界与防控机制；并从技术可靠性、数据伦理、认知发展、实施条件与制度规范五个层面，剖析融合挑战及相应对策，旨在为培养兼具临床能力与数智素养的新时代眼科医师提供理论参考与实践思路。

  关键词： 人工智能; 眼科; 住院医师培训; 核心胜任力; 医学教育

   

  Abstract: Standardized residency training (SRT) is a core stage for medical students to transition into specialized ophthalmologists. Currently, ophthalmology residency training in China faces multiple dilemmas, including uneven distribution of regional resources, difficulty in internalizing the expanding knowledge system, insufficient clinical practice opportunities, and outdated traditional teaching models. The rapid development of artificial intelligence (AI) provides important opportunities for the digital-intelligent transformation of ophthalmology residency training.Grounded in the concept of competency-based medical education, this paper systematically sorts out the enabling application pathways of AI across the six core competency dimensions, and clarifies the boundaries of human-machine collaboration and corresponding prevention and control mechanisms for each dimension. It further analyzes the integration challenges and targeted countermeasures from five aspects: technical reliability, data ethics, cognitive development, implementation conditions, and institutional norms. This study aims to provide theoretical references and practical insights for cultivating new-era ophthalmologists equipped with both clinical competence and digital intelligence literacy.

  Key words: artificial intelligence; ophthalmology; residency training; core competencies; medical education

  提交时间：2026-09-01

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
• html

• 图表

• 袁芳, 刘璐, 吕天丽, 赵冰骢, 侯学思, 徐晓白, 李彬, 姬旭. 新医科背景下岗位胜任力导向WORLD教学模式在针灸专业住院医师规范化培训中的构建与实践. 2026. doi: 10.12201/bmr.202605.00049

  郏欣茹, 施彦, 姚东伟, 林鹏耀, 林呈飞. 生成式人工智能辅助教学法在眼科临床教学中的应用研究. 2026. doi: 10.12201/bmr.202603.00124

  万蕊, 费凯伦, 仲佳, 孙博洋, 段建春, 张永明, 马子骁, 王志杰. 数字化病案在肺癌住院医师培训中的价值与应用探索. 2026. doi: 10.12201/bmr.202602.00034

  董琨, 杨芬, 杨扬. 人工智能在全科医师培训中的应用与思考. 2023. doi: 10.12201/bmr.202305.00011

  高然, 刘瑄. 国际眼科专科医师培训模式比较. 2026. doi: 10.12201/bmr.202608.00004

  王坤, 吕莉, 张玉慧, 黄凯. 专职教学管理岗在住院医师规范化培训专业基地中的实践与探索. 2025. doi: 10.12201/bmr.202505.00051

  解静, 刘久畅. 人工智能时代美国医学教育改革前沿案例分析及其启示. 2025. doi: 10.12201/bmr.202503.00054

  李菁, 刘世蒙, 燕梦雨, 李娜, 黄栩, 孙梅. 上海市住院医师规范化培训学员就业偏好分析. 2026. doi: 10.12201/bmr.202604.00067

  杨虹, 赵鹤楹, 顾慧洁, 庄佳运, 姜蕾. 多样化带教方法在中医住院医师规范化培训心电图教学中的运用与体会. 2025. doi: 10.12201/bmr.202506.00027

  孟冬晴, 吕文娟. 生成式人工智能赋能医学图书馆知识服务的路径研究. 2025. doi: 10.12201/bmr.202510.00039

• 序号	提交日期	编号	操作
  1	2026-06-24	10.12201/bmr.202609.00001V1	下载

• 公开评论  匿名评论  仅发给作者 提交评论