Ambiguity Detection in Medical Exams via Large Language Models: Retrospective Cross-Sectional Pilot Study [0.03%]
基于大型语言模型的医学考试歧义识别：回顾性横断面试点研究
Romain Lombardi,Alexandre Destere,Jean Dellamonica et al.
Romain Lombardi et al.
Background: Large language models (LLMs) have emerged as promising tools in medical education due to their ability to understand, generate, and reason with natural language. Their ability to simulate expert reasoning sugg...
Virtual Reality and Gamification for Assessing Technical Aptitude, Cognitive Abilities, and Personality Characteristics in Surgical Residency Selection: Validation Study [0.03%]
基于虚拟现实和游戏化的外科住院医师选择的技术胜任力、认知能力和人格特征评估验证性研究
Noa Gazit,Gilad Ben-Gal,Ron Eliashar
Noa Gazit
Background: Assessment of technical aptitude, cognitive abilities, and personality characteristics is important in selecting candidates for surgical training. Currently, the selection of surgical training candidates does ...
Twelve Tips for Recognizing and Addressing the Adverse Effects of Medical Education Interventions: Tutorial [0.03%]
识别和应对医学教育干预的不利影响的12条建议：教程
Tadayuki Hashimoto,Mohammad Adrian Hasdianda,Kanapa Kornsawad et al.
Tadayuki Hashimoto et al.
"First, do no harm" is a fundamental principle in health care, and clinical researchers carefully monitor adverse drug reactions to ensure patient safety. However, educational researchers and clinical educators rarely apply the same level o...
Mobile Learning in Medical Education: Quasi-Experimental Realist Evaluation of Usage, Context, and Examination Performance in a Curricular Setting [0.03%]
医学教育中的移动学习：课程设置下使用情况、情境和考试表现的准实验现实主义评价
Jan Peter Herbert Holzhäuer,Joy Backhaus,Thiên-Tri Lâm et al.
Jan Peter Herbert Holzhäuer et al.
Background: Mobile learning (mLearning) is widely used in medical education. Previous research has focused on technology acceptance and intervention effectiveness, but rarely on their integration. Using realist evaluation...
Enhancing Therapist Training in the Delivery of Exposure Therapy for Individuals with Anxiety Disorders Using Virtual Reality Simulation: Randomized Feasibility Trial [0.03%]
利用虚拟现实模拟技术改进焦虑障碍患者暴露治疗师培训的随机可行性试验
Joshua Kemp,Ariella Rosen,Hyungjin Kim et al.
Joshua Kemp et al.
Background: Exposure-based cognitive behavioral therapy is among the least used evidence-based practices for anxiety disorders in routine care. Providers' negative beliefs about exposure (eg, fears of harm or intolerabili...
Randomized Controlled Trial
JMIR medical education. 2026 May 21:12:e80087. DOI:10.2196/80087 2026
Enhancing Pathology Knowledge for Biomedical Scientists: Pilot Cohort Study of a Comprehensive Self-Paced Tutorial for Bridging Fundamental Concepts With Translational Applications [0.03%]
提高生物医学科学家病理学知识的教程试点研究：从基础概念到转化应用的全面自学型教程研究
Jennifer Sells,Leticia C Clemente,David P Farris et al.
Jennifer Sells et al.
Background: Knowledge of pathology is integral to numerous health care and research disciplines, besides routine laboratory-medicine operations. Despite its importance, there remains a significant gap in structured educat...
Chang Cai,Gaoxia Zhu,Shang-Ming Zhou et al.
Chang Cai et al.
Background: Although artificial intelligence (AI) is increasingly adopted in health care, clinicians face barriers, including insufficient understanding, limited trust, and challenges in interpreting AI outputs. Existing ...
Outcomes of Digital Training for Community Health Workers in Low- and Middle-Income Countries: Scoping Review [0.03%]
低收入和中等收入国家数字培训社区卫生工作者的效果：综合述评
Tapiwa A Tembo,Nora Ellen Rosenberg,Firaol Ayele et al.
Tapiwa A Tembo et al.
Background: Community health workers (CHWs) play an important role in delivering essential health services in low- and middle-income countries (LMICs). Training CHWs using digital approaches is on the rise. Although scopi...
Experiences and Perceptions of Clinical and Graduate Medical Students Regarding AI in Syria: Cross-Sectional Study [0.03%]
叙利亚临床及研究生医学生关于人工智能的经验与感知：横断面研究
Jouni Aljoudeh,Abdulrahman Al Balkhi,Yahia Ranjous et al.
Jouni Aljoudeh et al.
Background: Artificial intelligence (AI) tools have revolutionized various aspects of education and health care in recent years. Their influence extends across multiple domains of medical education, from traditional learn...
Multilevel Determinants of Engagement in Lifelong Learning in Orthodontics From Formal to AI-Supported Approaches: Development of a Conceptual Framework Through a Qualitative Study [0.03%]
终身学习正畸学的多级参与决定因素：从正规教育到人工智能支持的方法：通过定性研究建立概念框架
Theerasak Nakornnoi,Jitpitchaya Wimonchaijit,Rochaya Chintavalakorn et al.
Theerasak Nakornnoi et al.
Background: Lifelong learning (LLL) is increasingly important for health care professionals, particularly within the field of orthodontics, driven by emerging technologies, updated treatment techniques, and rising patient...