Latest AI and machine learning research in medical education for healthcare professionals.
Medical education has long relied on stable, high-level program objectives to articulate the outcomes of undergraduate medical training. These objectives have served an essential role in defining professional identity, guiding curricular design, and ensuring accountability. However, the pace of contemporary clinical change increasingly exceeds the capacity of static curricular structures to adapt....
The Internet has fundamentally reshaped the formation and diffusion of public opinion in modern society. However, existing simulation studies often face challenges such as insufficient fidelity in evolutionary dynamics, behavioral homogenization, and high modeling costs. This study develops a realistic public opinion simulation system that integrates macro-level diffusion patterns with micro-level...
UNLABELLED: Artificial intelligence (AI) tools such as ChatGPT are rapidly being adopted in medical education, yet evidence regarding their impact on ...
Healthcare simulation centers collect extensive operational, educational, and experiential data, yet much of this information is often underutilized b...
This study develops an intelligent e-commerce talent demand prediction system built on a hybrid Long Short-Term Memory (LSTM) and Convolutional Neural...
BACKGROUND: Operating room (OR) inefficiency persists despite decades of process improvement, largely due to stochastic case durations, emergency disr...
The acronym "SP" is widely used in simulation-based education, yet its meaning varies across contexts, referring at different times to standardized pa...
This pilot study explored how adult day centers can serve as transformative clinical learning environments for nursing students to learn dementia care...
Health care professionals face an urgent need for AI literacy as artificial intelligence technologies rapidly transform clinical practice, yet nursing...
BACKGROUND: Artificial intelligence-enabled ambient speech recognition technology is an emerging innovation poised to transform how nurses care for an...
Continuous and reliable monitoring of soldiers' health in remote and resource-constrained environments is essential for operational readiness and time...
Diagnostic ultrasound has long filled a crucial niche in medical imaging thanks to its portability, affordability, and favorable safety profile. Now, ...
Deep Reinforcement Learning (DRL) methods have shown remarkable success in many applications, yet their high energy consumption limits their practicab...
The incorporation of AI-powered applications into music education is becoming increasingly important, as these tools can extend practice support beyon...
BACKGROUND: This article explores how preclinical students in a UK medical school utilise ChatGPT during their case-based learning (CBL) curriculum. M...
BACKGROUND: Positioning accuracy in radiotherapy is critical for treatment outcomes, especially in head tumor radiotherapy, where the target area is s...
Purpose Artificial intelligence (AI) is increasingly used in health professions education, yet little is known about dental hygiene students' knowledg...
The high nominal accuracy achieved by deep learning models in predicting malignant skin lesions is frequently undermined by their susceptibility to op...
Recent advancements in artificial intelligence have led to increased interest in predictive modeling across various domains, including medicine. Altho...
BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information gen...