Latest AI and machine learning research in health policy for healthcare professionals.
"Fake news" is an old problem. In recent years, however, increasing usage of social media as a sou...
With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthca...
Imitation learning often assumes that demonstrations are close to optimal according to some fixed,...
DeepSeek-R1 has demonstrated remarkable effectiveness in incentivizing reasoning and generalizatio...
This paper introduces a novel semantics-aware inspection planning policy derived through deep rein...
The ThinPrep Cytologic Test (TCT) is the most widely used method for cervical cancer screening, an...
The growing utilization of Internet of Medical Things (IoMT) devices, including smartwatches and w...
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease dete...
We study the problem of reducing a task cost functional $W(S)$, defined over Sobolev-class signals...
Broader access to high-quality movement analysis could greatly benefit movement science and rehabi...
Diffusion models have made breakthroughs in 3D generation tasks. Current 3D diffusion models focus...
Keeping track of how lawmakers vote is essential for government transparency. While many parliamen...
The integration of Reinforcement Learning (RL) into robotic-assisted surgery (RAS) holds significa...
Recent advances in vision language models (VLMs) have enabled broad progress in the general medica...
The integration of AI speech recognition technologies into healthcare has the potential to revolut...
This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its be...
Stochastic Computing has attracted extensive attention in the deployment of neural networks at the e...
This study explores the factors influencing the availability of assistive technology for people with...
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...
In the past decade, extended reality (XR) has been introduced into healthcare due to several potenti...
We propose a new framework for multi-agent reinforcement learning (MARL), where the agents coopera...