Latest AI and machine learning research in medical education for healthcare professionals.
. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU) acceleration, the heavy computational load remains a major challenge, especially in large-scale, high-accuracy simulation scenarios. This work aims to develop a deep learning-based simulator to accelerate Bloch simulation.. The simulator model, cal...
The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical sciences. Large language models, such as ChatGPT, can serve as virtual teaching assistants, providing students with detailed and relevant information and perhaps eventually interactive simulations. ChatGPT has the potential to increase student engagement...
OBJECTIVE: To provide the first clinical validation of the European Association of Urology Robotic Urology Section (ERUS) curriculum for training in r...
Artificial intelligence (AI) is widely used in the field of education at present, but people know little about its possible impacts, especially on the...
The use of virtual reality for simulations plays an important role in the initial training for robotic surgery. This randomized controlled trial aimed...
The eyes possess sophisticated physiological structures, diverse disease targets, limited drug delivery space, distinctive barriers, and complicated b...
Machine learning methods are widely used within the medical field. However, the reliability and efficacy of these models is difficult to assess, makin...
Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban producti...
BACKGROUND: While the buttock region is considered an esthetic hallmark, the Brazilian butt lift (BBL) remains controversially discussed in the plasti...
Orthognathic surgery corrects jaw deformities to improve aesthetics and functions. Due to the complexity of the craniomaxillofacial (CMF) anatomy, ort...
. The image reconstruction of ultrasound computed tomography is computationally expensive with conventional iterative methods. The fully learned direc...
This paper presents a linear quadratic Gaussian (LQG) controller for controlling the gait of a miniature, foldable quadruped robot with individually a...
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated-none of which is c...
The simulation optimization method was used to the identification of light nonaqueous phase liquid (LNAPL) groundwater contamination source (GCS) with...
Machine Learning (ML), a branch of Artificial Intelligence, which is competing with human experts in many specialized biomedical fields and will play ...
Finite element methods (FEM) are popular approaches for simulation of soft tissues with elastic or viscoelastic behavior. However, their usage in real...
The academic curriculum has shown to promote sedentary behavior in college students. This study aimed to profile the physical fitness of physical educ...
There has been widespread adoption of robotic total mesorectal excision (TME) for rectal cancer in recent years. There is now increasing interest in t...
Diagnostic reasoning is a foundational ability of health professionals. The goal of enhancing clinical reasoning education is improved diagnostic accu...
While robotic procedures are growing rapidly, medical students have a limited role in robotic surgeries. Curricula are needed to enhance engagement. W...