Latest AI and machine learning research in health policy for healthcare professionals.
Using doors is a longstanding challenge in robotics and is of significant practical interest in giving robots greater access to human-centric spaces. The task is challenging due to the need for online adaptation to varying door properties and precise control in manipulating the door panel and navigating through the confined doorway. To address this, we propose a learning-based controller for a l...
Identifying (a) systemic barriers to quality healthcare access and (b) key indicators of care efficacy in the United States remains a significant challenge. To improve our understanding of regional disparities in care delivery, we introduce a novel application of curvature, a geometrical-topological property of networks, to Physician Referral Networks. Our initial findings reveal that Forman-Ric...
Curating, processing, and combining large-scale medical imaging datasets from national studies is a non-trivial task due to the intense computation ...
Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solution...
The integration of chatbots in healthcare has gained attention due to their potential to enhance patient engagement and satisfaction. This paper prese...
Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with challenges. Over-reliance on AI systems can lead to au...
We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare industry. Through a systematic search in the Factiv...
Depth perception plays an essential role in the viewer experience for immersive virtual reality (VR) visual environments. However, previous research...
Privacy research has attracted wide attention as individuals worry that their private data can be easily leaked during interactions with smart devic...
As access to the internet has become increasingly ubiquitous, along with the reliability and speed of internet providers, so too has the implementat...
Decentralized Health Intelligence Network (DHIN) extends the Decentralized Intelligence Network (DIN) framework to address challenges in healthcare ...
We consider a novel active learning problem motivated by the need of learning machine learning models for health monitoring in wireless body area ne...
Work-related transportation incidents significantly impact urban mobility and productivity. These incidents include traffic crashes, collisions betw...
OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurre...
Privacy is a hot topic for policymakers across the globe, including the United States. Evolving advances in AI and emerging concerns about the misus...
This chapter examines the challenges of the revised opt out system and the secondary use of health data in England. The analysis of this data could ...
The advent of vision-language models fosters the interactive conversations between AI-enabled models and humans. Yet applying these models into clin...
The European Commission adequacy decision on the EU US Data Privacy Framework, adopted on July 10th, 2023, marks a crucial moment in transatlantic d...
Artificial Intelligence (AI) is defined as "the capacity of a computer, robot, programmed device, or software application to perform operations and ta...
We aimed to understand nursing informaticists' perspectives on key challenges, questions, and opportunities for the nursing profession as it prepares ...