Latest AI and machine learning research in health policy for healthcare professionals.
The ThinPrep Cytologic Test (TCT) is the most widely used method for cervical cancer screening, and the sample quality directly impacts the accuracy of the diagnosis. Traditional manual evaluation methods rely on the observation of pathologist under microscopes. These methods exhibit high subjectivity, high cost, long duration, and low reliability. With the development of computer-aided diagnosi...
The growing utilization of Internet of Medical Things (IoMT) devices, including smartwatches and wearable medical devices, has facilitated real-time health monitoring and data analysis to enhance healthcare outcomes. These gadgets necessitate improved security measures to safeguard sensitive health data while tackling scalability issues in real-time settings. The proposed system, hChain 4.0, emp...
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease detection, yet economic considerations are often overl...
We study the problem of reducing a task cost functional $W(S)$, defined over Sobolev-class signals $S$, when the cost is invariant under a global sy...
Broader access to high-quality movement analysis could greatly benefit movement science and rehabilitation, such as allowing more detailed character...
Diffusion models have made breakthroughs in 3D generation tasks. Current 3D diffusion models focus on reconstructing target shape from images or a s...
Keeping track of how lawmakers vote is essential for government transparency. While many parliamentary voting records are available online, they are...
The integration of Reinforcement Learning (RL) into robotic-assisted surgery (RAS) holds significant promise for advancing surgical precision, adapt...
Doctors and patients alike increasingly use Large Language Models (LLMs) to diagnose clinical cases. However, unlike domains such as math or coding,...
Recent advances in vision language models (VLMs) have enabled broad progress in the general medical field. However, pathology still remains a more c...
The integration of AI speech recognition technologies into healthcare has the potential to revolutionize clinical workflows and patient-provider com...
There are now a multitude of AI-scribing solutions for healthcare promising the utilization of large language models for ambient documentation. Howe...
This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its benefits, challenges, and ethical considerations. AI...
In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface web service, data retrieval web service, and AI web ...
The European Rolling Plan for ICT Standardization outlines activities that connect EU policies to standardization efforts in different technological d...
Stochastic Computing has attracted extensive attention in the deployment of neural networks at the edge due to its low hardware cost and high fault to...
The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potential of generative AI models like ChatGPT-4 is a tren...
This study explores the factors influencing the availability of assistive technology for people with dementia through the application of machine learn...
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by enhancing diagnostic accuracy, personalising treatm...
In the past decade, extended reality (XR) has been introduced into healthcare due to several potential benefits, such as scalability and cost savings....