Latest AI and machine learning research in medical education for healthcare professionals.
Clinical pathology, as a core discipline of medical diagnosis, is experiencing unprecedented changes and challenges, with the growing acceptance of artificial intelligence in medicine, especially the introduction of foundation models in pathology. The emergence of these intelligent models will change the workflow of pathology, change the learning and diagnostic mode of pathologists, and also put f...
BACKGROUND: The integration of digitalisation, including artificial intelligence (AI), is becoming increasingly important in healthcare. It is transforming areas such as diagnostics, therapeutic planning and patient monitoring. However, research indicates that many medical students and physicians feel unprepared to use these technologies in their daily practice. This study provides insights into t...
Under the background of the rapid development of artificial intelligence (AI) technology, the postgraduate training of acupuncture professional master...
PURPOSE: Artificial intelligence (AI) is poised to revolutionise all aspects of eye care practice in the coming decades. However, not much is known ab...
INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, clinicians encounter ethical challenges that tradit...
INTRODUCTION: Physician assistant programs must provide effective remediation to support struggling students within the constraints of limited faculty...
As artificial intelligence (AI) becomes integrated into gastrointestinal endoscopy, training programs must adapt to prepare learners for AI-assisted p...
PURPOSE: As artificial intelligence (AI) models evolve into their next generations, their application in specialized medical fields requires rigorous ...
AI-driven multiscale virtual plant cell modeling represents a paradigm shift in plant systems biology, enabling predictive simulation from molecular m...
INTRODUCTION: Critical workforce shortages in radiation oncology have led tertiary institutions to rapidly expand their radiation therapy (RT) student...
VHIL-E is the Virtual Human Interaction Lab's Expert, a large language model (LLM) representing the lab's research, teaching, and outreach on virtual ...
BACKGROUND: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is ...
OBJECTIVE: Artificial intelligence (AI) is poised to transform surgical education, particularly in providing objective, scalable feedback. This study ...
Artificial intelligence (AI) is rapidly transforming healthcare delivery, logistics, and operational decision-making across the Military Health System...
Generative artificial intelligence (AI), particularly large language models such as ChatGPT, is increasingly influencing learning and continuing profe...
OBJECTIVE: People with rheumatic and musculoskeletal diseases (RMDs) can acquire disabilities that affect their participation in work and school. Gene...
Older people living with falls and frailty are common in emergency attendances, admissions and functional decline. Artificial intelligence (AI) and ma...
INTRODUCTION: Digital transformation has reshaped dental education over the past decade, driving a shift from traditional, instructor-centred teaching...
As artificial intelligence (AI) reshapes health care delivery, nursing professional development (NPD) educators must develop digital readiness in novi...
Binding affinity is a critical parameter that can influence the state of the drug in vivo and help to define the formulation strategy. The current stu...