Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 41,091 to 41,100 of 223,737 articles

Staged domain adaptation with transformer for bearing remaining useful life prediction.

ISA transactions Mar 17, 2026
Accurate prediction of Remaining Useful Life (RUL) is essential to optimize operational efficiency in engineered maintenance systems. Conventional transfer learning approaches often suffer from negative transfer when applied across the entire equipme... read more 

SparseXMIL: Leveraging sparse convolutions for context-aware and memory-efficient classification of whole slide images in digital pathology.

Medical image analysis Mar 17, 2026
The computer analysis of Whole Slide Images (WSIs) has become increasingly prevalent in pathology-based diagnosis, although their analysis still presents considerable challenges due to the voluminous nature of the data. To address this issue, Multipl... read more 

Modernizing public health surveillance for global health security leveraging AI.

Lancet regional health. Americas Mar 17, 2026
An electronic public health surveillance (e-PHS) embracing One Health and participatory approaches will collect and analyze data at the human-animal-environment interface to enhance real-time information for the prevention and control of public healt... read more 

Characterizing mating behaviour in broiler breeders via a vision based deep learning model.

Poultry science Mar 17, 2026
Broiler breeder mating behaviour consists of rapidly performed sub-actions that determine the success of sperm transfer critical for egg fertility. It includes rooster mounting the hen followed by coordinated tail movements that enable cloacal contac... read more 

Dose-aware diffusion model for 3D PET image denoising: Multi-institutional validation with reader study and real low-dose data.

Medical image analysis Mar 17, 2026
Reducing scan times, radiation dose, and enhancing image quality, especially for lower-performance scanners, are critical in low-count/low-dose PET imaging. Deep learning (DL) techniques have been investigated for PET image denoising. However, existi... read more 

Representation learning for the prediction of length of stay in infants with congenital heart diseases undergoing cardiac surgery.

European heart journal. Digital health Mar 17, 2026
AIMS: Congenital heart disease is the most common birth defect and significantly impacts health, mortality, and healthcare costs. Accurately estimating intensive care unit (ICU) and hospital stays after cardiac surgery could facilitate family plannin... read more 

Machine learning-assisted Zr-MOFFe@SECHA fluorescence and colorimetric dual-mode intelligent platform for sensitive LPS detection.

Analytica chimica acta Mar 17, 2026
BACKGROUND: Lipopolysaccharide (LPS) is a crucial diagnosis biomarker for sepsis. Accurate and sensitive determination of LPS in real samples (human serum and vancomycin) assumes paramount importance in effectively preventing sepsis and promoting pub... read more 

NanoGS: Training-Free Gaussian Splat Simplification

arXiv Mar 17, 2026
3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, but often requires millions of Splats, incurring significant storage and transmission costs. Most existin... read more 
Computer Vision and Pattern Recognition cs.GR

PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency

arXiv Mar 17, 2026
Vision-Language Models (VLMs) offer significant potential in computational pathology by enabling interpretable image analysis, automated reporting, and scalable decision support. However, their widespread clinical adoption remains limited due to the ... read more 
Computer Vision and Pattern Recognition cs.AI

EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion

arXiv Mar 17, 2026
Overexposure frequently occurs in practical scenarios, causing the loss of critical visual information. However, existing infrared and visible fusion methods still exhibit unsatisfactory performance in highly bright regions. To address this, we propo... read more 
Computer Vision and Pattern Recognition
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