Artificial Intelligence Medical Compendium

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

Showing 42,991 to 43,000 of 223,853 articles

DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning

arXiv Mar 10, 2026
The growing adoption of electronic health record (EHR) systems has provided unprecedented opportunities for predictive modeling to guide clinical decision making. Structured EHRs contain longitudinal observations of patients across hospital visits, w... read more 
Machine Learning

ARCHE: Autoregressive Residual Compression with Hyperprior and Excitation

arXiv Mar 10, 2026
Recent progress in learning-based image compression has demonstrated that end-to-end optimization can substantially outperform traditional codecs by jointly learning compact latent representations and probabilistic entropy models. However, many exist... read more 
Image and Video Processing cs.CV cs.LG

Delta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation

arXiv Mar 10, 2026
While Diffusion Models excel in text-to-image synthesis, they often suffer from concept omission when synthesizing complex multi-instance scenes. Existing training-free methods attempt to resolve this by rescaling attention maps, which merely exacerb... read more 
Computer Vision and Pattern Recognition cs.AI

FusionNet: a frame interpolation network for 4D heart models

arXiv Mar 10, 2026
Cardiac magnetic resonance (CMR) imaging is widely used to visualise cardiac motion and diagnose heart disease. However, standard CMR imaging requires patients to lie still in a confined space inside a loud machine for 40-60 min, which increases pati... read more 
Computer Vision and Pattern Recognition cs.LG

OilSAM2: Memory-Augmented SAM2 for Scalable SAR Oil Spill Detection

arXiv Mar 10, 2026
Segmenting oil spills from Synthetic Aperture Radar (SAR) imagery remains challenging due to severe appearance variability, scale heterogeneity, and the absence of temporal continuity in real world monitoring scenarios. While foundation models such a... read more 
Computer Vision and Pattern Recognition

Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in Ophthalmology.

Ophthalmology science Mar 10, 2026
PURPOSE: Standard supervised learning assumes deterministic labels (e.g., positive or negative, present or absent), neglecting the diagnostic uncertainty inherent in clinical practice. We propose latent supervision, a novel algorithm which applies la... read more 

Artificial intelligence-based prognostic models in acute myeloid leukemia: systematic review and meta-analysis.

Blood neoplasia Mar 10, 2026
Machine learning and deep learning tools have been proposed to improve survival prediction in acute myeloid leukemia (AML), but comparative benchmarks remain unclear. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 se... read more 

Bad Bunny: A Tale of Artificial Intelligence.

Nursing research Mar 10, 2026
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Predicting soymilk odors using a multilayer perceptron neural network model.

Food research international (Ottawa, Ont.) Mar 10, 2026
The presence of undesirable beany odors in soymilk products is a long-lasting issue for the soymilk manufacturers as it largely affects the consumers acceptance. Promising soybean varieties that generate satisfactory soymilk odors (SV-SSO) may offer ... read more 

Precise and high-throughput origin discrimination for green coffee beans by mass spectrometry-based metabolic analysis.

Food research international (Ottawa, Ont.) Mar 10, 2026
Fraud involving falsely labeled origins remains a significant risk in the trade of plant foods like green coffee beans, due to a lack of precise and high-throughput origin discrimination tools. Here, we for the first time employ a high-performance fe... read more 
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