Latest AI and machine learning research in medical education for healthcare professionals.
Microscopic traffic simulation plays a crucial role in the development and testing of autonomous driving systems. However, accurately reproducing traffic participant behavior in shared urban road segments remains challenging due to their flexible movement characteristics, particularly for bicycles that potentially interfere with motorized vehicles. This study presents a novel data-driven simulatio...
This study systematically analyzed the dynamic mechanisms through which food texture regulates bolus formation by integrating food and bolus properties, dynamic sensory perception, and multimodal physiological monitoring. A fermented biscuit model with a distinct hardness gradient (10.24-202.82Â N) was established. Time-intensity and temporal dominance of sensations analyses revealed that the perce...
With the widespread integration of artificial intelligence (AI), orthopedics postgraduate education is transitioning into the intelligent era. Large l...
INTRODUCTION: Pharmacy students increasingly rely on generative artificial intelligence (AI) for learning support, yet most available tools remain gen...
Slide-based lectures remain the primary means by which undergraduate students learn about the mathematical, physical, and systems-level foundations of...
BACKGROUND: Deep generative models open new avenues for simulating realistic genomic data while preserving privacy and addressing data accessibility c...
Artificial intelligence is entering healthcare simulation, yet implementation remains fragmented and lacking coordinated governance. This article argu...
BACKGROUND: As the demand for innovative older adult care grows alongside a shortage of care workers, personalization is key to optimizing services an...
OBJECTIVE: Generative artificial intelligence (AI) is rapidly transforming the field of neuropsychology by offering innovative opportunities to enhanc...
PURPOSE: This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulnes...
This research evaluates the factors influencing the behavioural intention (BI) to adopt large language models (LLMs) among dental students in educatio...
BACKGROUND: Applying to an integrated plastic surgery program is among the most competitive processes in graduate medical education. Prior studies hav...
STATEMENT OF PROBLEM: Current dental 3-dimensional (3D) printing workflows lack automated tools for optimizing build orientations that preserve critic...
Melanoma incidence has increased in Western countries over the past 50 years, leading to significant healthcare costs. In Sweden, comprehensive health...
Artificial intelligence (AI) is rapidly becoming an integral part of everyday clinical practice, including cardiology and cardiovascular surgery. As A...
Medical education has long relied on stable, high-level program objectives to articulate the outcomes of undergraduate medical training. These objecti...
The Internet has fundamentally reshaped the formation and diffusion of public opinion in modern society. However, existing simulation studies often fa...
UNLABELLED: Artificial intelligence (AI) tools such as ChatGPT are rapidly being adopted in medical education, yet evidence regarding their impact on ...
PROBLEM: Health systems are rapidly integrating generative artificial intelligence (GenAI) into clinical workflows, introducing safety risks including...
Healthcare simulation centers collect extensive operational, educational, and experiential data, yet much of this information is often underutilized b...