.png){kind=icon}
Return
An artificial intelligence-driven platform for practice question generation
.png){kind=icon}
PRE
AI
DOI：10.1093/acamed/wvaf074.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
High-stakes licensing exams such as the United States Medical Licensing Examination (USMLE) play a critical role in medical education, influencing both trainee progression and patient outcomes. Access to high-quality board preparation resources is uneven and often cost-prohibitive, disproportionately affecting students from underrepresented or financially disadvantaged backgrounds.
Keywords:
medical licensing exams
artificial intelligence
board preparation
educational equity
practice questions
Journal
IF:
5.2
Papers:
1.2W
Citations:
2.4W
Organization
Cited Papers
Study Behaviors and USMLE Step 1 Performance: Implications of a Student Self-Directed Parallel Curriculum.png)
ACADEMIC MEDICINE
OAAI
ACADEMIC MEDICINEIF5.2
OAAIShareSaveLarge Language Models in Medical Education: Comparing ChatGPT- to Human-Generated Exam QuestionsACADEMIC MEDICINE
ACADEMIC MEDICINEIF5.2
PREAI
ShareSaveCase-based MCQ generator: A custom ChatGPT based on published prompts in the literature for automatic item generationMEDICAL TEACHER
MEDICAL TEACHERIF4.4
PREAI
ShareSaveChatGPT versus human in generating medical graduate exam multiple choice questions—A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom)PLOS ONE
OAAI
PLOS ONEIF0
OAAIShareSaveBuilding bridges between theory and practice in medical education using a design-based research approach: AMEE Guide No. 60MEDICAL TEACHER
MEDICAL TEACHERIF4.4
PREAI
ShareSave no more
no more