Latest AI and machine learning research in medical education for healthcare professionals.
Physical manipulation of garments is often crucial when performing fabric-related tasks, such as hanging garments. However, due to the deformable nature of fabrics, these operations remain a significant challenge for robots in household, healthcare, and industrial environments. In this paper, we propose GraphGarment, a novel approach that models garment dynamics based on robot control inputs and...
Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary conditions (BCs) of a thoracic aorta (TA) model derived from one patient with ascending aortic aneurysm. The BCs reproduce the visco-elastic structural support provided by the soft tissue and the spine and allow for the inclusion of the heart motion effect. Methods: we first segment the TA from mag...
Purpose: This study proposes a novel anatomically-driven dynamic modeling framework for coronary arteries using skeletal skinning weights computatio...
We present the first framework demonstrating zero-shot sim-to-real transfer of visual control policies learned in a Neural Radiance Field (NeRF) env...
VR simulation in Health Professions (HP) education demonstrates huge potential, but fixed learning content with little customization limits its appl...
Objective. Patients implanted with the PRIMA photovoltaic subretinal prosthesis in geographic atrophy report form vision with the average acuity mat...
Medical education faces challenges in scalability, accessibility, and consistency, particularly in clinical skills training for physician-patient co...
Ensuring safety in autonomous systems with vision-based control remains a critical challenge due to the high dimensionality of image inputs and the ...
Motor skill learning often requires experienced professionals who can provide personalized instruction. Unfortunately, the availability of high-qual...
The extraction of information from semi-structured text, such as resumes, has long been a challenge due to the diverse formatting styles and subject...
Text-to-image (T2I) models enable rapid concept design, making them widely used in AI-driven design. While recent studies focus on generating semant...
Personal AI assistants (e.g., Apple Intelligence, Meta AI) offer proactive recommendations that simplify everyday tasks, but their reliance on sensi...
Large Language Models (LLMs) have been previously explored for mental healthcare training and therapy client simulation, but they still fall short i...
Ensuring safety in autonomous driving systems remains a critical challenge, particularly in handling rare but potentially catastrophic safety-critic...
High-frequency inductive power transfer (IPT) has garnered significant attention in recent years due to its long transmission distance and high effi...
Generalizable humanoid loco-manipulation poses significant challenges, requiring coordinated whole-body control and precise, contact-rich object man...
Autonomous robotic wiping is an important task in various industries, ranging from industrial manufacturing to sanitization in healthcare. Deep rein...
As Artificial Intelligence (AI) technologies become more integrated into clinical settings to optimize care, healthcare professionals (HCPs) will need...
Although psychometrics researchers have recently explored the use of large language models (LLMs) as proxies for human participants, LLMs often fail...
Metacognitive education plays a crucial role in cultivating students' self-regulation and reflective thinking, providing essential support for those...