Latest AI and machine learning research in health policy for healthcare professionals.
"Medical deserts" are areas with low healthcare service levels, challenging the access, quality, and sustainability of care. This qualitative narrative review examines how artificial intelligence (AI), particularly large language models (LLMs), can address these challenges by integrating with e-Health and the Internet of Medical Things to enhance services in under-resourced areas. It explores AI-d...
Revolutionary sixth-generation wireless communications technologies and applications, notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air-ground integrated networks (SAGINs), zero-touch networks, industry 5.0, and healthcare 5.0, are driving next-generation wireless networks (NGWNs). These technologies generate massive data, requiring swift transmission and trill...
Automatic video polyp segmentation plays a critical role in gastrointestinal cancer screening, but the cost of frameby-frame annotations is prohibit...
Time series play a crucial role in many fields, including finance, healthcare, industry, and environmental monitoring. The storage and retrieval of ...
Bayesian Optimization (BO) is a widely-used method for optimizing expensive-to-evaluate black-box functions. Traditional BO assumes that the learner...
In today's data-driven world, algorithms operating with vertically distributed datasets are crucial due to the increasing prevalence of large-scale,...
Improving global school connectivity is critical for ensuring inclusive and equitable quality education. To reliably estimate the cost of connecting...
Recent advances in language modeling demonstrate the need for high-quality domain-specific training data, especially for tasks that require speciali...
Advances in imaging technologies have revolutionised the medical imaging and healthcare sectors, leading to the widespread adoption of PACS for the ...
Recent AI-driven step-function advances in several longstanding problems in music technology are opening up new avenues to create the next generatio...
The rapid growth of remote healthcare delivery has introduced significant security and privacy risks to protected health information (PHI). Analysis...
The generation of high-quality medical time series data is essential for advancing healthcare diagnostics and safeguarding patient privacy. Specific...
Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition...
Executing precise and agile flight maneuvers is critical for quadrotors in various applications. Traditional quadrotor control approaches are limite...
Event extraction is an important natural language processing (NLP) task of identifying events in an unstructured text. Although a plethora of works ...
Artificial Intelligence (AI) is a broad field that is upturning mental health care in many ways, from addressing anxiety, depression, and stress to ...
Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, personalization, and efficiency in therapeutic interven...
Prediction models frequently face the challenge of concept drift, in which the underlying data distribution changes over time, weakening performance...
Recent advances in robotic foundation models have enabled the development of generalist policies that can adapt to diverse tasks. While these models...
Digital healthcare systems have revolutionized medical services, facilitating provider collaboration, enhancing diagnosis, and optimizing and improv...