Latest AI and machine learning research in health policy for healthcare professionals.
Resource-constrained autonomous robots rely on sparse direct and semi-direct visual-(inertial)-odome...
Medical image quality assessment (Med-IQA) is a prerequisite for clinical AI deployment, yet multimo...
In endoscopic surgery, surgeons continuously locate the endoscopic view relative to the anatomy by i...
Current no-reference image quality assessment (NR-IQA) models for enhanced images often struggle to ...
Fraud in the health landscape is an aggravating issue, with far-reaching consequences burdening the ...
Background: The administrative burden of clinical documentation is a recognised contributor to clini...
Data science plays a critical role in transforming complex data into actionable insights across nume...
When working with real-world insurance data, practitioners often encounter challenges during the dat...
Recent advances in vision-language models (VLMs) have garnered substantial attention in open-vocabul...
Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...
Blind 360°image quality assessment (IQA) aims to predict perceptual quality for panoramic images wit...
The rapid evolution of clinical guidelines and artificial intelligence has created a velocity gap in...
Immersive Computer Graphics (CGs) rendering has become ubiquitous in modern daily life. However, com...
Consensus molecular subtyping (CMS) defines the transcriptomic taxonomy of colorectal cancer (CRC) a...
Hospital artificial intelligence (AI) and robotics are spreading unevenly across the United States, ...
Accurate vessel segmentation is essential for reliable hemodynamic quantification in 4D Flow MRI. Au...
Coverless Image Steganography (CIS) hides information without explicitly modifying a cover image, pr...
Unified vision-language models have made significant progress in multimodal understanding and genera...
Background: Cardiovascular disease (CVD) readmissions impose substantial clinical and economic burde...
Large healthcare institutions typically operate multiple business intelligence (BI) teams segmented ...
Real-world image restoration (RWIR) is a highly challenging task due to the absence of clean ground-...