Latest AI and machine learning research in medical education for healthcare professionals.
ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese medicinal herb commonly used to "nourish yin and moisten the lung", and has long been applied for the prevention and treatment of lung-related disorders in classical medical texts such as the Treatise on Typhoid Fever and Item Differentiation of Warm Febrile Diseases. Pulmonary fibrosis (PF) is a chron...
BACKGROUND: Large language models (LLMs) are increasingly used by patients for health information and preliminary medical advice. In patient-facing consultations, users may present explicitly stated diagnostic preferences or symptom narratives emphasizing a preferred explanation. Such cognitively biased input constrains the diagnostic context available to the model and may systematically steer its...
BACKGROUND: Large language models (LLMs) are increasingly explored as tools for medical education. However, evidence remains limited regarding their p...
Debriefing is widely recognised as a central mechanism for learning within healthcare simulation, enabling learners to reflect on clinical actions, de...
Background. Simulation calibration is the process of configuring a simulation model's parameters to improve the agreement between the model output and...
INTRODUCTION: Traditional program evaluation in medical education often faces challenges with large data volumes and manual analysis, which can delay ...
BACKGROUND: Serious illness conversations (SICs) are an important part of medical care, yet trainees continue to express discomfort. Educational oppor...
Autonomous artificial intelligence (AI) systems for retinal image interpretation are being deployed in routine clinical practice, fundamentally alteri...
Simulation-based education has become widely embedded in health professional training and is increasingly positioned as a solution to clinical placeme...
Simulation-based education has evolved into a foundational component of nuclear medicine technologist training, driven by increasing procedural comple...
Simulation-based education has emerged as a strategic response to placement scarcity, workforce strain, and the increasing complexity of nuclear medic...
INTRODUCTION: Endoscopic Sleeve Gastroplasty (ESG) is an established minimally invasive bariatric intervention, while artificial intelligence (AI) has...
PURPOSE OF REVIEW: The purpose of this article is to identify promising technologies that can enhance core regional anesthesia training, competence, a...
BACKGROUND: Interprofessional education (IPE) is vital for preparing pharmacy students for collaborative practice but is often constrained by logistic...
BACKGROUND: Artificial intelligence (AI) is reshaping clinical practice and redefining the competencies future physicians will need. International bod...
INTRODUCTION: Qualitative research is essential in surgical education for exploring complex social phenomena. However, thematic analysis is time-inten...
University sports governance is a complex system constrained by multiple competing objectives, including resource allocation, participation equity, op...
Medical education is transforming due to new technologies such as artificial intelligence (AI). Although AI is being considered for medical education,...
OBJECTIVE: Our goal was to develop a simulation platform for photon-counting CT (PCCT) imaging in mouse models of head and neck squamous cell carcinom...
BACKGROUND: Clinical medicine postgraduates are expected to attain competencies equivalent to senior resident physicians. However, ophthalmology gradu...