Latest AI and machine learning research in medical education for healthcare professionals.
INTRODUCTION: Physician assistant programs must provide effective remediation to support struggling students within the constraints of limited faculty time and resources while simultaneously meeting Accreditation Review Commission on Education for the Physician Assistant compliance standards. Traditional approaches can be time-intensive, subjective, and difficult to scale. Leveraging artificial in...
As artificial intelligence (AI) becomes integrated into gastrointestinal endoscopy, training programs must adapt to prepare learners for AI-assisted practice. This review outlines current AI applications, ranging from polyp detection to workflow analysis, and proposes a structured curriculum embedding AI at every stage of training. The framework aims for both technical proficiency and adaptive exp...
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...
BACKGROUND: Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligenc...
BACKGROUND: In undergraduate medical education, the ability to manage clinical-cases is a core competency expected of future physicians. Traditionally...
The human brain is a complex adaptive system characterized by dynamic processes operating across multiple spatio-temporal scales. Capturing these dyna...
OBJECTIVE: As the neurosurgery residency application process grows increasingly reliant on strategy, applicants must weigh relationship-building effor...
As a field, neurology can seem complicated, overwhelming, and at times ambiguous and uncertain. However, novel technological developments-including ar...