Latest AI and machine learning research in health policy for healthcare professionals.
The rapid advancement of AI-driven visual generation technologies has catalyzed significant breakthroughs in image manipulation, particularly in achieving photorealistic localized editing effects on natural scene images (NSIs). Despite extensive research on image quality assessment (IQA) for AI-generated images (AGIs), most studies focus on fully AI-generated outputs (e.g., text-to-image generat...
Handwritten Text Recognition (HTR) is essential for document analysis and digitization. However, handwritten data often contains user-identifiable information, such as unique handwriting styles and personal lexicon choices, which can compromise privacy and erode trust in AI services. Legislation like the ``right to be forgotten'' underscores the necessity for methods that can expunge sensitive i...
Scholar Inbox is a new open-access platform designed to address the challenges researchers face in staying current with the rapidly expanding volume...
Artificial intelligence (AI) and the introduction of Large Language Model (LLM) chatbots have become a common source of patient inquiry in healthcare....
Unmanned aerial vehicles (UAVs), initially developed for military applications, are now used in various fields. As UAVs become more common across mu...
Loco-manipulation -- coordinated locomotion and physical interaction with objects -- remains a major challenge for legged robots due to the need for...
The increasing adoption of web crawling opt-outs by copyright holders of online content raises critical questions about the impact of data complianc...
Health disparities (differences in non-genetic conditions that influence health) can be associated with differences in burden of disease by groups w...
Accurate prediction of Length of Stay (LOS) in hospitals is crucial for improving healthcare services, resource management, and cost efficiency. Thi...
Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes and streamlining processes. Nevertheless, this tr...
The adaptation of a breast cancer detection platform based on artificial intelligence, designed for use on Android devices, is an initiative driven by...
Learning-based image compression methods have recently emerged as promising alternatives to traditional codecs, offering improved rate-distortion pe...
Text summarization is crucial for mitigating information overload across domains like journalism, medicine, and business. This research evaluates su...
We examine the performance of an Integrated Access and Backhaul (IAB) node as a range extender for beyond-5G networks, focusing on the significant c...
Ultra-dense networks (UDNs) represent a transformative access architecture for upcoming sixth generation (6G) systems, poised to meet the surging de...
The escalation of urban air pollution necessitates innovative solutions for real-time air quality monitoring and prediction. This paper introduces a...
Respiratory diseases account for a significant portion of global mortality. Affordable and early detection is an effective way of addressing these a...
Understanding objects through multiple sensory modalities is fundamental to human perception, enabling cross-sensory integration and richer comprehe...
Background: The HERMES Kiosk (Healthcare Enhanced Recommendations through Artificial Intelligence & Expertise System) is designed to provide persona...
Large language models (LLMs)-powered AI agents exhibit a high level of autonomy in addressing medical and healthcare challenges. With the ability to...