Latest AI and machine learning research in medical education for healthcare professionals.
Discontinuities in spatial derivatives appear in a wide range of physical systems, from creased th...
Camera sensor simulation serves as a critical role for autonomous driving (AD), e.g. evaluating vi...
Recent advances in reinforcement learning with verifiable, rule-based rewards have greatly enhance...
Natural images exhibit label diversity (clean vs. noisy) in noisy-labeled image classification and...
Current Large Language Models (LLMs) exhibit significant limitations, notably in structured, inter...
Current Large Language Models (LLMs) exhibit significant limitations, notably in structured, inter...
Objective: As AI becomes increasingly central to healthcare, there is a pressing need for bioinfor...
Self-Supervised Learning (SSL) has become a powerful solution to extract rich representations from...
With the proliferation of large language models (LLMs) in the medical domain, there is increasing ...
Medical reasoning in large language models (LLMs) aims to emulate clinicians' diagnostic thinking,...
Background and Objective: Precise preoperative planning and effective physician training for coron...
The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potentia...
PURPOSE: Artificial intelligence (AI) has been increasingly studied within medical education and cli...
This paper proposes a low-overhead, vision-based 3D scene reconstruction framework for drones, nam...
: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...
Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...
This paper addresses the challenges of training end-to-end autonomous driving agents using Reinfor...
The integration of generative artificial intelligence tools in education has emerged as a transforma...
INTRODUCTION: Facilitating debriefings in simulation is a complex task with high task load. The incr...
BACKGROUND: The rapid integration of digital technologies in health care has emphasized the need to ...
BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid developme...