Latest AI and machine learning research in medical education for healthcare professionals.
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across health care and pose serious risks to workforce well-being, organizational sustainability, and patient safety. This article builds on a prior four-part article series for this journal and examines emerging dimensions of bullying, including mobbing, gaslighting, cyberbullying, remote and virtual incivil...
BACKGROUND: Generative artificial intelligence (AI) is quickly changing medical education, even as medical students still face high levels of stress, anxiety, and burnout. These simultaneous trends-technological upheaval and ongoing mental health issues-bring up important questions about how future doctors will be trained and supported. Understanding how these factors might influence each other is...
BACKGROUND: Competency-based neurosurgical education requires not only structured assessment but also adaptive learning systems capable of detecting i...
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is playing an increasingly significant role in radiology While prior studies examined medical s...
Virtual simulation (VS) is pivotal in undergraduate dental education for cognitive and preclinical training. Expanding VS adoption and artificial inte...
BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global c...
BACKGROUND: Simulation-based training (SBT) in neonatal resuscitation has positive impact on educational and neonatal outcomes. However, the implement...
BACKGROUND: As oncology workflows integrate increasingly autonomous artificial intelligence (AI) agents, health systems face uncertainty regarding ope...
Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reali...
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, making AI literacy an essential competency for medical students. ...
Integrating artificial intelligence (AI) with sports medicine principles into school-based physical education may enhance physical fitness and reduce ...
The incorporation of artificial intelligence (AI) into nursing education is becoming a key tool to respond to the growing demands for patient safety a...
BACKGROUND: Conversational artificial intelligence (AI) tools, such as large language models and chat-based systems, are increasingly used by clinicia...
BACKGROUND AND PURPOSE: Accreditation ensures educational program quality, public accountability, and professional readiness. Compliance demands subst...
Artificial intelligence prognostic tools are now embedded in routine oncology workflows, generating recurrence risk scores and survival estimates that...
DeepSeek-R1 Distilled Large Language model (LLM) was touted to be almost as good and much cheeper to generate than traditional LLMs. We compared its a...
The study presents a local large language model pipeline for automated feedback in pediatric simulation-based medical education. The system generates ...
This SaNuRN initiative developed a teaching module on applied AI for health residents, fellows, and CME professionals, responding to the French Minist...
BACKGROUND: Artificial intelligence (AI) and clinical informatics (CI) are strategic priorities for UK ophthalmology, with the Royal College of Ophtha...