Latest AI and machine learning research in health policy for healthcare professionals.
Fair access to healthcare facilities is fundamental to achieving social equity. Traditional travel time-based accessibility measures often overlook the dynamic nature of travel times resulting from different departure times, which compromises the accuracy of these measures in reflecting the true accessibility experienced by individuals. This study examines public transport-based accessibility to...
Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful postoperative care for successful recovery. However, timely access to healthcare guidance can be challenging, especially in rural or underserved areas. ChatGPT-4, an artificial intelligence (AI) tool, offers a potential solution for continuous postoperative support and patient education. This study ...
Equitable access to reliable health information is vital for public health, but the quality of online health resources varies by language, raising c...
This paper presents a sandbox study proposal focused on the distributed processing of personal health data within the Vinnova-funded SARDIN project....
Remote healthcare technology can help tackle societal issues by improving access to quality healthcare services and enhancing diagnoses through in-p...
Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of various diseases, such as cancer. However, the CT ...
We present a novel quality assessment method which can predict the perceptual quality of point clouds from new scenes without available annotations ...
The Wi-Fi technology (IEEE 802.11) was introduced in 1997. With the increasing use and deployment of such networks, their security has also attracte...
Two modern trends in insurance are data-intensive underwriting and behavior-based insurance. Data-intensive underwriting means that insurers use and...
Agile healthcare frameworks, derived from methodologies in IT and manufacturing, offer transformative potential for low-income regions. This study e...
Understanding the prevalence, disparities, and symptom variations of Post COVID-19 Condition (PCC) for vulnerable populations is crucial to improvin...
An asynchronous $\ka$-active-user unsourced multiple access channel (AUMAC) is a key model for uncoordinated massive access in future networks. We f...
Health data is one of the most sensitive data for people, which attracts the attention of malicious activities. We propose an open-source health dat...
This paper defines a new model which incorporates three key ingredients of a large class of wireless communication systems: (1) spatial interactions...
Imitation learning requires high-quality demonstrations consisting of sequences of state-action pairs. For contact-rich dexterous manipulation tasks...
The impact of Artificial Intelligence (AI) is transforming various aspects of urban life, including, governance, policy and planning, healthcare, su...
Limited English Proficiency (LEP) patients face higher risks of adverse health outcomes due to communication barriers, making timely medical interpr...
With rapid digitization and digitalization, drawing a fine line between the digital and the physical world has become nearly impossible. It has beco...
When applied in healthcare, reinforcement learning (RL) seeks to dynamically match the right interventions to subjects to maximize population benefi...
Zero Trust Architectures (ZTA) fundamentally redefine network security by adopting a "trust nothing, verify everything" approach that requires ident...