Effectiveness of Artificial Intelligence-Assisted Peer Teaching in Orthopedic Clinical Education: Historical Cohort Study [0.03%]
基于历史队列的骨科临床教育中同伴教学辅助人工智能有效性的研究
Chengcheng Yu,Fangcai Li,Ning Zhang et al.
Chengcheng Yu et al.
Background: Peer teaching is an established pedagogical approach in medical education; yet, traditional methods face challenges including inconsistent knowledge support, variable teaching quality, and limited scalability....
Exploring the Role of Early Career Medical Professionals From a Digital-Oriented University in Germany in Promoting Digital Health in Professional Settings: Qualitative Interview Study [0.03%]
德国数字化大学医学早期职业专业人员在专业环境中促进数字健康的作用探索：定性访谈研究
Christopher Koch,Jan P Ehlers,Julia Nitsche et al.
Christopher Koch et al.
Background: To address care delivery gaps, the health care system must embrace innovative digital solutions. Additionally, the rising integration of digitalization as a topic into medical education is providing students w...
Impact of a Practical, Hands-On, Continuing Professional Development Course About AI in Health Care Professions Education on the Perceptions and Behaviors of Health Care Educators: Qualitative Case Study [0.03%]
关于卫生专业人员教育中人工智能的实践性、动手操作式的继续职业发展课程对卫生教育者的感知和行为的影响：定性案例研究
Justin G Peacock,Jerusalem Merkebu,Anita Samuel
Justin G Peacock
Background: Artificial intelligence (AI) is increasingly being used in many aspects of society, including health care and education. AI has the potential to enhance health care delivery, education, and administration. Hea...
Andragogic Model Curriculum for One-Year ACGME-Accredited Fellowship Programs: Single-Center Educational Improvement Project [0.03%]
面向为期一年的ACGME认证联合会计划的成人学习模型课程：单一中心教育改进项目
Romy Yun,Allyson Farran,Echo Rowe et al.
Romy Yun et al.
Background: The number of 1-year Accreditation Council for Graduate Medical Education (ACGME) fellowships continues to grow. The ACGME recommends a holistic curriculum with nonclinical areas, inclusive of educational sess...
Co-Designing and Evaluating a 1-Day Quality Improvement Workshop for Medical Students and Resident Physicians: Tutorial on Applying Kern's Curriculum Development Framework [0.03%]
医学生和住院医师医疗质量改善工作坊的设计及评估：关于应用Kern医学教学大纲的教程研究
Amanda Ling Jie Yee,Mariam Idrissi,Sam Sherratt-Mayhew et al.
Amanda Ling Jie Yee et al.
Background: Despite the importance of quality improvement in advancing patient care and safety, there is limited literature describing structured, practical, and co-designed quality improvement education. ...
Implementation of Emotional Connection Training in Pediatric Primary Care: Mixed Methods Study [0.03%]
儿科初级保健中情感连接训练的实施：混合方法研究
Elizabeth Erickson,J Blakely Amati,Dani Dumitriu et al.
Elizabeth Erickson et al.
Background: In 2021, the American Academy of Pediatrics released a policy statement spotlighting the health-promoting and stress-buffering effects of early relational health (ERH) and calling for universal ERH promotion i...
AI-Generated Versus Human Supervisor Feedback on Medical Students' Clinical Clerkship Logs: Cross-Sectional Convergent Mixed Methods Study [0.03%]
基于医学生临床轮转记录的人工智能反馈与人类指导教师反馈的会聚混合方法横断面研究
Takeshi Kondo,Jeroen Donkers,Hiroshi Nishigori et al.
Takeshi Kondo et al.
Background: Feedback is essential for medical students' learning during clinical clerkships; yet, supervising physicians often struggle to provide meaningful written feedback due to time constraints. Large language models...
Comparing the Weighted Gain Score and a Rasch-Based Approach for Estimating Learning Outcomes in Medical Education: Quantitative Study [0.03%]
基于权重增益得分和拉什基础方法的医学教育学习成果估计效果定量研究
Rauf Aliyev,Joy Backhaus,Silke Hammer et al.
Rauf Aliyev et al.
Background: Pretest-posttest designs are widely used to estimate learning gain in studies evaluating educational interventions in medical education. The Weighted Gain Score (WGS) was proposed to reduce bias associated wit...
Developing a Large Language Model-Based Feedback System for Case Report Writing in Rehabilitation Education: Tutorial [0.03%]
基于大型语言模型的康复教育案例报告写作反馈系统开发：教程
Yuuto Tonouchi,Shunsuke Nakai,Kayo Murakami et al.
Yuuto Tonouchi et al.
Background: Novice health care staff often write case reports during early clinical training. However, many institutions lack structured feedback systems because of time constraints and instructor shortages. Large languag...
Evaluating the Pediatric Behavior Guidance of Students Based on Actual Clinical Transcripts Scored by Faculty and Large Language Models: Pilot Comparative Study [0.03%]
基于临床实际记录评估学生的儿科行为指导： faculty和大型语言模型比较研究的试点研究
Ishreen Kaur Dhillon,Gabriel Keng Yan Lee,Shijia Hu
Ishreen Kaur Dhillon
Background: Personalized feedback improves the clinical pediatric behavior guidance performance of students but is prohibitively time-consuming to provide. Large language models (LLMs) can automate the process of evaluati...
Comparative Study
JMIR medical education. 2026 Jun 12:12:e83376. DOI:10.2196/83376 2026