Latest AI and machine learning research in medical education for healthcare professionals.
Information sharing is critical in time-sensitive and realistic multi-robot exploration, especially for smaller robotic teams in large-scale environments where connectivity may be sparse and intermittent. Existing methods often overlook such communication constraints by assuming unrealistic global connectivity. Other works account for communication constraints (by maintaining close proximity or ...
Generative artificial intelligence, especially large language models (LLMs), has the potential to affect every level of pediatric education and training. Demonstrating speed and adaptability, LLMs can aid educators, trainees, and practicing pediatricians with tasks such as enhancing curriculum design through the creation of cases, videos, and assessments; creating individualized study plans and pr...
Motion disorders pose a significant global health concern and are often managed with pharmacological treatments that may lead to undesirable long-te...
It is a mystery how the brain decodes color vision purely from the optic nerve signals it receives, with a core inferential challenge being how it d...
Identifying the physical properties of the surrounding environment is essential for robotic locomotion and navigation to deal with non-geometric haz...
Among the measures taken by UVVG to modernize the educational process is the pioneering undertaking regarding the introduction of a course on Artifici...
This study explores the integration of Large Language Models (LLMs) into nursing education, highlighting a paradigm shift towards interactive learning...
The swift advancement of single-cell RNA sequencing (scRNA-seq) technologies enables the investigation of cellular-level tissue heterogeneity. Cell ...
Modern OOO CPUs have very deep pipelines with large branch misprediction recovery penalties. Speculatively executed instructions on the wrong path c...
Quantum simulation, fundamental in quantum algorithm design, extends far beyond its foundational roots, powering diverse quantum computing applicati...
The integration of large language models (LLMs) like ChatGPT into medical education presents potential benefits and challenges. These technologies, al...
Traditional Chinese medicine(TCM) placebos are simulated preparations for specific objects and the color simulation in the development of TCM placebos...
Integrating Generative AI (GenAI) into educational contexts presents a transformative potential for enhancing learning experiences. This paper intro...
This research aimed to examine the effectiveness of artificial intelligence applications in asthma and chronic obstructive pulmonary disease (COPD) ou...
We propose Curriculum by Masking (CBM), a novel state-of-the-art curriculum learning strategy that effectively creates an easy-to-hard training sche...
Musculoskeletal modeling and simulation is often a lengthy and computationally expensive process, particularly when developing and using personalized ...
Wearable robotic systems physically interact with the human user, and it may alternate human body states. It has been studied to exploit the dynamics ...
EEG source imaging is an indispensable tool for non-invasive study of brain function. Existing methods mainly directly deal with the EEG inverse probl...