Evaluation of a Problem-Based Learning Program's Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study [0.03%]
基于问题学习项目对日本医学生人工智能伦理观念影响的评估：混合研究方法研究
Yuma Ota,Yoshikazu Asada,Saori Kubo et al.
Yuma Ota et al.
Background: The rapid advancement of artificial intelligence (AI) has had a substantial impact on medicine, necessitating the integration of AI education into medical school curricula. However, such integration remains li...
Interactive, Image-Based Modules as a Complement to Prosection-Based Anatomy Laboratories: Multicohort Evaluation [0.03%]
基于图像的互动模块作为解剖学实验室的主要教学方法：多队列评估
Caroline Sumner,Sami L Case,Samuel Franklin et al.
Caroline Sumner et al.
Background: As medical and allied health curricula adapt to increasing time constraints, ethical considerations, and resource limitations, digital innovations are becoming vital supplements to donor-based anatomy instruct...
GPT-4o and OpenAI o1 Performance on the 2024 Spanish Competitive Medical Specialty Access Examination: Cross-Sectional Quantitative Evaluation Study [0.03%]
GPT-4和OpenAI评估在2024年西班牙竞争性医学专科准入考试中的表现：横断面定量评价研究
Pau Benito,Mikel Isla-Jover,Pablo González-Castro et al.
Pau Benito et al.
Background: In recent years, generative artificial intelligence and large language models (LLMs) have rapidly advanced, offering significant potential to transform medical education. Several studies have evaluated the per...
AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors [0.03%]
中国医学生的AI素养调查：个人和环境因素的影响分析
Chunqing Li,Sian Hsiang-Te Tsuei,Hongbin Wu
Chunqing Li
Background: Artificial intelligence (AI) literacy is increasingly essential for medical students. However, without systematic characterization of the relevant components, designing targeted medical education interventions...
Comparing AI-Assisted Problem-Solving Ability With Internet Search Engine and e-Books in Medical Students With Variable Prior Subject Knowledge: Cross-Sectional Study [0.03%]
具有不同先前知识的医学生的人工智能辅助解题能力与互联网搜索引擎和电子书的比较：横断面研究
Ajiith Xavier,Syed Shariq Naeem,Waseem Rizwi et al.
Ajiith Xavier et al.
Background: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT (OpenAI), is rapidly influencing medical education. Its effectiveness for students with varying levels of prior knowledge...
Comparative Study
JMIR medical education. 2026 Jan 6:12:e81264. DOI:10.2196/81264 2026
Combining Problem-Based Learning Methods With the WeChat Platform in Teaching Ophthalmology: Randomized Controlled Trial [0.03%]
基于问题学习与微信平台结合开展眼科学教学的随机对照试验
Fang Fang,Bing Bu,Wenmin Jiang
Fang Fang
Background: Ophthalmology poses distinct learning challenges for medical students due to the complex anatomy of the eye and the requirement of essential hands-on skills. Problem-based learning (PBL), a student-centered ap...
Randomized Controlled Trial
JMIR medical education. 2026 Jan 5:12:e65279. DOI:10.2196/65279 2026
Live Podcasting as an Educational Intervention in Dentomaxillofacial Radiology: Controlled Cohort Study [0.03%]
口腔颌面部放射学中的现场播客教育干预措施：队列研究
Anna-Lena Hillebrecht,Daniel Fritzsche,Thamar Voss et al.
Anna-Lena Hillebrecht et al.
Background: Podcasts are increasingly used in health professions education; however, most formats are asynchronous and noninteractive. Didactically grounded, synchronous implementations in dental curricula are scarce. ...
Comparative Efficacy of Simulation-Based and Traditional Training in Ultrasound-Assisted Regional Anaesthesia for Medical Students. A Randomized controlled trial [0.03%]
基于模拟的超声引导区域麻醉教学与传统教学法对医学生的教学效果比较：一项随机对照实验研究
David Sánchez-Poveda,Juan Vicente-Mampel,Belén Curto et al.
David Sánchez-Poveda et al.
Background: Ultrasound is very important in medicine and teaching, but there are not many formal training programs. We also don't know much about what students think. To be good at using ultrasound, you need to learn tech...
Training the Digital Clinician by Evaluating Health Education and Curriculum Integration New Zealand Psychology and Psychiatry Programs: Mixed Methods Study [0.03%]
通过评估健康教育和课程整合新西兰心理学和精神病学项目来训练数字临床医生：混合方法研究
Catherine Rawnsley,Karolina Stasiak
Catherine Rawnsley
Background: The importance of digital health education is widely recognized; however, structural and knowledge deficits hinder its effective integration into training and on-the-job upskilling programs. Tackling these cha...
AI in Psychiatric Education and Training From 2016 to 2024: Scoping Review of Trends [0.03%]
2016至2024年人工智能在精神病学教育和培训中的应用趋势综述
Michael James Weightman,Anna Chur-Hansen,Scott Richard Clark
Michael James Weightman
Background: Artificial intelligence (AI) is rapidly changing both clinical psychiatry and the education of medical professionals. However, little is currently known about how AI is being discussed in the education and tra...