Latest AI and machine learning research in medical education for healthcare professionals.
In the era of immersive consumer electronics, such as AR/VR headsets and smart devices, people increasingly seek ways to express their identity through virtual fashion. However, existing 3D garment design tools remain inaccessible to everyday users due to steep technical barriers and limited data. In this work, we introduce a 3D sketch-driven 3D garment generation framework that empowers ordinar...
The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potential of generative AI models like ChatGPT-4 is a trending topic. The study examines how ChatGPT-4 performed on the national Medicine Residency exam in Spain, a highly selective test for accessing the medical specialization training program called MIR. ChatGPT-4 answered 210 questions, including 25 that...
PURPOSE: Artificial intelligence (AI) has been increasingly studied within medical education and clinical practice. At present, it remains uncertain i...
This paper proposes a low-overhead, vision-based 3D scene reconstruction framework for drones, named ExploreGS. By using RGB images, ExploreGS repla...
Drones are promising for data collection in precision agriculture, however, they are limited by their battery capacity. Efficient path planners are ...
Contemporary approaches to agent-based modeling (ABM) of social systems have traditionally emphasized rule-based behaviors, limiting their ability t...
: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbidity, and a projected global workforce shortage of ...
Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, ventilators and other critical equipment, and pharm...
Learning navigation in dynamic open-world environments is an important yet challenging skill for robots. Most previous methods rely on precise local...
Unmanned Aerial Vehicle (UAV) Coverage Path Planning (CPP) is critical for applications such as precision agriculture and search and rescue. While t...
This paper addresses the challenges of training end-to-end autonomous driving agents using Reinforcement Learning (RL). RL agents are typically trai...
The integration of generative artificial intelligence tools in education has emerged as a transformative approach to enhancing learning outcomes, part...
Animals can solve new, complex tasks by reusing and adapting what they've learned before. This kind of flexibility depends not just on having prior ex...
INTRODUCTION: Facilitating debriefings in simulation is a complex task with high task load. The increasing availability of generative artificial intel...
BACKGROUND: The rapid integration of digital technologies in health care has emphasized the need to ensure that medical students are well-equipped wit...
BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid development of "artificial intelligence" (AI) technology in...
Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medica...
Humanoid loco-manipulation holds transformative potential for daily service and industrial tasks, yet achieving precise, robust whole-body control w...
BACKGROUND: Rapid technological advancements have left medical graduates potentially underprepared for the digital healthcare environment. Despite the...
In the context of the new mandatory labor compliance in the European Union (EU), which will be implemented in 2027, supply chain enterprises face st...