Authors' Reply: Big Data, Small Stories: Methodological Considerations for Using Social Media Analytics in Medical Education Research [0.03%]
作者回应：大数据，小故事：医学教育研究中使用社交媒体分析的方法学考虑因素
Faisal Binsar,Mohammad Hamsal
Faisal Binsar
The Historical Evolution of Microlearning in Health Professions Education: Bibliometric Analysis [0.03%]
基于文献计量分析的职业卫生教育中微型学习的历史演变研究
Jennie C De Gagne,Paige S Randall,Elizabeth R Blackwood et al.
Jennie C De Gagne et al.
Background: Microlearning has emerged as a flexible, technology-enabled instructional approach in health professions education, yet its longitudinal evolution, collaboration patterns, and thematic development remain under...
Students' Perspectives on Digital Psychotherapy-Possible Solutions for Digital Inpatient-Like Care Concepts: Qualitative Interview Study [0.03%]
学生对数字心理治疗的看法：数字住院类护理概念的可能解决方案：定性访谈研究
Rebekka Robitzsch,Tania Lalgi,Alexander Diel et al.
Rebekka Robitzsch et al.
Background: The demand for mental health treatment is increasing, while the availability of treatment remains insufficient to meet the rising demand. Alternative solutions need to be explored to enable access to care for ...
Performance of Large Language Models on the Brazilian National Medical Education Examination: Comparative Benchmark Study [0.03%]
大型语言模型在巴西全国医学教育考试中的表现：比较基准研究
Francys de Luca Fernandes da Silva,Eduardo Augusto Roeder,João Victor Bruneti Severino et al.
Francys de Luca Fernandes da Silva et al.
Background: Large language models (LLMs) are rapidly incorporated into medical education and examination preparation; yet, most benchmarking evidence is derived from English-language material. Whether frontier commercial ...
Comparative Study
JMIR medical education. 2026 May 29:12:e89839. DOI:10.2196/89839 2026
Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: Randomized Trial [0.03%]
基于人工智能的医学教育辅导随机对照试验
Jaideep S Talwalkar,David Chartash,Lisa Zhang et al.
Jaideep S Talwalkar et al.
Background: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. Faculty often struggle to translate verbal observations into written fee...
Randomized Controlled Trial
JMIR medical education. 2026 May 28:12:e89996. DOI:10.2196/89996 2026
Interprofessional Training in Virtual Reality for Health Care: Experimental Study on Procedural Knowledge and Willingness to Collaborate [0.03%]
基于虚拟现实的医护专业培训实验研究：关于程序性知识和合作意愿的研究
Melanie Bauer,Matthias J Witti,Matthias Stadler et al.
Melanie Bauer et al.
Background: High-quality wound care requires early and effective interprofessional collaboration between medical, nursing, and pharmacy professionals. However, interprofessional education (IPE) in this context remains lim...
Exploring the Feasibility of an Examiner-Worn Neck-Mounted Camera for Objective Structured Clinical Examination Assessment: Pilot Feasibility Study [0.03%]
基于试点研究的客观结构化临床考试评估中_examminer_佩戴式颈挂摄像机的可行性探索
Miwa Sekine,Yuji Nishizaki,Amane Endo et al.
Miwa Sekine et al.
Background: The Objective Structured Clinical Examination (OSCE) is a prevalent method for evaluating clinical competence in medical education. As OSCEs become increasingly standardized and resource intensive, alternative...
Learning Analytics of a National Entrustable Professional Activities Platform: Cross-Sectional Study of System-Level Constraints on Advanced Entrustment in Competency-Based Medical Education [0.03%]
基于能力的医学教育中全国可委托专业行为平台的学习分析：横断面研究中高级委托的系统层面限制
Jeng-Wen Chen,Rui-Bin Yu,Kai-Nan Lin et al.
Jeng-Wen Chen et al.
Background: Competency-based medical education (CBME) relies on entrustable professional activities (EPAs) and Clinical Competency Committee (CCC) deliberation to support defensible decisions about trainee progression. As...
Generative AI's Impact on the Mental Health of Medical Students: Scenario Analysis [0.03%]
生成式AI对医学生心理健康的影响：情景分析
Nora Arvai,Bertalan Meskó,Gellért Katonai
Nora Arvai
Background: Generative artificial intelligence (AI) is quickly changing medical education, even as medical students still face high levels of stress, anxiety, and burnout. These simultaneous trends-technological upheaval ...
Changes in Self-Reported Empathy After a Basic Medical Communication Course Among Premedical Students: Single-Group Longitudinal Study [0.03%]
Seong Ju Jeon,Hyo Hyun Yoo
Seong Ju Jeon
Background: Empathy is essential to patient-centered care, yet erosion of empathy has been reported during medical training. Although educational interventions may support empathy development, longitudinal evidence on whe...