Latest AI and machine learning research in medical education for healthcare professionals.
Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reality (XR) and artificial intelligence (AI) applications remain heterogeneous. To map the educational applications, learner populations, outcome measures, and research gaps related to the use of XR and emerging AI tools in orthopedic surgical training. ...
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate foundational anatomical knowledge with clinical reasoning. Upper limb nerve lesions are particularly challenging to learn because they require spatial understanding and application of structure-function relationships, yet students often struggle to ...
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...
Despite the growing prominence of Artificial Intelligence (AI) in surgical practice, surgical residents and postgraduates receive limited formal train...
A Control moment gyroscope (CMG) is an attitude control actuator widely used in spacecraft. As a consequence of the continuous high-speed rotation to ...
While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple-choice questions (M...
Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring edu...
BACKGROUND: Artificial intelligence (AI) tools have revolutionized various aspects of education and health care in recent years. Their influence exten...
OBJECTIVE: To investigate the accuracy and reliability of AI chatbots to estimate pharmacokinetic parameters from limited patient samples and populati...
Artificial intelligence (AI) is increasingly used in facial aesthetic surgery. This specialty is well-positioned to benefit from its ability to analyz...
The rapid evolution of digital technologies has accelerated the transition toward Education 5.0, where intelligent systems support advanced learning e...