Latest AI and machine learning research in medical education for healthcare professionals.
Coronary angiography is routinely acquired during invasive assessment of coronary artery disease, but its interpretation remains fragmented across visual stenosis assessment, quantitative anatomy, physiology estimation, and procedural planning. Existing angiography-derived physiology tools typically provide vessel-level scalar outputs and are not tightly integrated with automated image analysis, l...
The purpose of this study is to evaluate the expert-rated quality and item-level psychometric performance of multiple-choice questions generated by GPT-4o and o3 from correctly recognized radiographs and compare selected items with faculty-written questions. Fifty curriculum-aligned radiographs were submitted separately to both models without clinical information. Only questions for which two radi...
Generative artificial intelligence (GenAI) can perform strongly on written anatomy examinations, but whether such scores represent anatomical competen...
INTRODUCTION: Artificial Intelligence (AI) is rapidly changing healthcare delivery and radiography, impacting both practice and education. Despite its...
Molecular dynamics simulation (MD) has become an important molecular-level approach for addressing the increasing global demand for efficient and sust...
BACKGROUND: Plastic, Reconstructive, and Aesthetic Surgery (PRAS) faces domain erosion from adjacent specialties and jurisdictional competition. To ma...
Simulation has become an essential strategy for advancing nursing practice, clinical competence, patient safety and healthcare system performance. As ...
Artificial intelligence is reshaping medical education at a pace that outstrips most institutions' capacity to respond, yet practical, multi-domain gu...
INTRODUCTION: The integration of artificial intelligence (AI) tools into radiation therapy workflows offers significant opportunities to improve effic...
Although endoscopic training has traditionally relied on mentorship and procedural volume to assess proficiency, the major gastroenterology societies ...
Study DesignScoping review.ObjectivesTo map spine literature on large language models, characterize reported use cases, and identify evidence gaps lim...
INTRODUCTION: The creation of simulation scenarios is typically time-consuming and requires a high cognitive load. Artificial intelligence (AI) and la...
Subject-specific finite element analysis (FEA) can estimate tissue-level stress, strain, contact pressure, and load transfer in the knee, but building...
RATIONALE AND OBJECTIVES: Hospital-radiology joint ventures (JVs) are forming at an accelerating pace as health systems seek to recapture outpatient i...
BACKGROUND: Psychotherapy training is difficult to scale because manual rating of motivational interviewing (MI) and cognitive behavioral therapy (CBT...
BACKGROUND: AI is increasingly encountered in clinical care and medical education, but medical students' attitudes, perceptions, and self-reported fam...
Neurophobia remains a persistent barrier in neurology education because learners often struggle to connect neuroanatomy, localization, examination fin...
For more than three decades, pharmacy has narrated its evolution as a movement away from the product and toward the patient. The pharmaceutical care e...