Academic research careers for medical doctors (ARC-MD): a five-year UC Davis training program to foster the next generation of physician-scientists [0.03%]
医学博士的学术研究职业（MD学术研究职业）：加州大学戴维斯分校五年制培训项目，培养下一代医生科学家
Mamta Parikh,Jennifer L Rosenthal,Luis Fernando Santana et al.
Mamta Parikh et al.
Since the establishment of the Flexnerian model of medical education, single degree (MD) physician-scientists have significantly advanced biomedical research and clinical medicine. However, institutional emphasis has predominantly favoured ...
Surgeon and trainee perspectives on intraoperative education: a systematic review and meta-synthesis [0.03%]
术者和受训者关于术中教育的观点：系统回顾及元综合分析
Isaac Vaughn Ealing,Sarah Whereat,Rowena Forsyth et al.
Isaac Vaughn Ealing et al.
This study aims to understand the perspectives of surgeons and trainees on intraoperative surgical education, identifying perceived barriers and facilitators. Surgical training is shifting towards competency-based medical education (CBME) w...
Development and early reach of a podcast-based innovation to support medical residents' personal and professional development [0.03%]
基于播客的支持住院医师个人和职业发展的创新及其初步推广达到效果分析
Maaike P Smit,Karsten A van Loon,Reinoud J B J Gemke et al.
Maaike P Smit et al.
Despite the use of structured competency frameworks and supporting educational tools, medical residents often continue to struggle with personalising their learning, managing feedback, and balancing professional demands with personal well-b...
Assessing LLM-generated vs. expert-created clinical anatomy MCQs: a student perception-based comparative study in medical education [0.03%]
基于学生感知的临床解剖学多选题比较研究：大型语言模型生成试题与专家编制试题的对比研究
Maram Elzayyat,Janatul Naeim Mohammad,Sami Zaqout
Maram Elzayyat
Large language models (LLMs) such as ChatGPT and Gemini are increasingly used to generate educational content in medical education, including multiple-choice questions (MCQs), but their effectiveness compared to expert-written questions rem...
Comparative Study
Medical education online. 2025 Dec;30(1):2554678. DOI:10.1080/10872981.2025.2554678 2025
Evaluating large language models as graders of medical short answer questions: a comparative analysis with expert human graders [0.03%]
评估大型语言模型作为医学简答题评分者的性能：与专家人工评分者对比分析
Olena Bolgova,Paul Ganguly,Muhammad Faisal Ikram et al.
Olena Bolgova et al.
The assessment of short-answer questions (SAQs) in medical education is resource-intensive, requiring significant expert time. Large Language Models (LLMs) offer potential for automating this process, but their efficacy in specialized medic...
Comparative Study
Medical education online. 2025 Dec;30(1):2550751. DOI:10.1080/10872981.2025.2550751 2025
Beyond reflection: using the clinician educator milestones in faculty development [0.03%]
反思之上：师资培养中临床教师成长指南的运用
Era Buck,Flavio M Monteiro,Kimberly Turner
Era Buck
Introduction: Faculty in academic medicine face increasing clinical and research demands, often limiting time for professional development and identity formation as educators. The ACGME Clinician Educator Milestones offer...
Correction [0.03%]
改正
Published Erratum
Medical education online. 2025 Dec;30(1):2547507. DOI:10.1080/10872981.2025.2547507 2025
Building a program of research in medical education: recommendations from the professional literature [0.03%]
医学教育研究项目的建立——专业文献中的建议
Rebekah Cole
Rebekah Cole
Medical educators are increasingly expected to engage in impactful scholarship. However, many struggle to progress beyond isolated studies toward developing cohesive, sustainable programs of research that establish scholarly identity and co...
Advancements in artificial intelligence transforming medical education: a comprehensive overview [0.03%]
人工智能在医学教育中的应用进展：全面回顾
Aliasghar Khakpaki
Aliasghar Khakpaki
Background: Artificial intelligence (AI) is revolutionizing medical education by introducing innovative tools and reshaping traditional teaching and learning methods. AI technologies such as virtual and augmented reality,...
Top-tier ranking university bring worse perception of medical learning environment to students: a cross-sectional study across 12 universities [0.03%]
一流大学的头衔会恶化医学生对学习环境的看法：一项横跨12所大学的横向研究
Runzhi Huang,Xinyue Yang,Yuntao Yao et al.
Runzhi Huang et al.
The medical learning environment (MLE) exerted a profound influence on students' physical, psychological, and professional development. University prestige and ranking significantly shape students' self-perception and self-esteem. Neverthel...