Latest AI and machine learning research in health policy for healthcare professionals.
Ultrasound (US) is a widely used medical imaging modality due to its real-time capabilities, non-i...
Efficient workload scheduling is a critical challenge in modern heterogeneous computing environmen...
Designers have ample opportunities to impact the healthcare domain. However, hospitals are often c...
This study addresses a critical research gap in water quality monitoring, specifically within the Ca...
In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess poten...
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in si...
Assessing multi-hazard susceptibility and understanding community insights are important for effecti...
Poor sleep quality has been found to be associated with functional abnormalities in a few regions of...
Understanding long-term trends and analyzing their driving factors are essential to effectively enha...
Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduct...
This narrative review explores the transformative role of artificial intelligence (AI) in forensic m...
Most conventional crash severity models attempt to achieve a low classification error rate, implicit...
Despite advancements, Radio Access Networks (RAN) still account for over 50\% of the total power c...
Our work aims to develop new assistive technologies that enable blind or low vision (BLV) people t...
In the domain of vehicle telematics the automated recognition of driving maneuvers is used to clas...
Artificial intelligence holds great promise for expanding access to expert medical knowledge and r...
Recent advances in reinforcement learning (RL) have significantly enhanced the reasoning capabilit...
Data brokers collect and sell the personal information of millions of individuals, often without t...
Stereo matching has become an increasingly important component of modern autonomous systems. Devel...
Classical video quality assessment (VQA) methods generate a numerical score to judge a video's per...
We develop a cost-efficient neurosymbolic agent to address challenging multi-turn image editing ta...