Artificial Intelligence Medical Compendium

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

Showing 25,141 to 25,150 of 217,472 articles

Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification

arXiv Apr 28, 2026
Viruses represent the most abundant biological entities on Earth and play a pivotal role in microbial ecosystems, yet, as prominent human pathogens, they are closely linked to human morbidity and mortality. Accurate identification of viral sequences ... read more 
Databases cs.LG

Correcting Performance Estimation Bias in Imbalanced Classification with Minority Subconcepts

arXiv Apr 28, 2026
Class-level evaluation can conceal substantial performance disparities across subconcepts within the same class, causing models that perform well on average to fail on specific subpopulations. Prior work has shown that common evaluation measures for ... read more 
Machine Learning cs.AI

Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

arXiv Apr 28, 2026
Federated learning is a machine learning paradigm in which multiple devices collaboratively train a model under the supervision of a central server while ensuring data privacy. However, its performance is often hindered by redundant, malicious, or ab... read more 
Computer Vision and Pattern Recognition cs.LG

MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification

arXiv Apr 28, 2026
Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing detailed, continuous spectral information. The strong performance of recen... read more 
Computer Vision and Pattern Recognition

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance

arXiv Apr 28, 2026
Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resection while preserving functional brain tissue. Fluorescence lifetime imaging (FLIm) offers real-time, label-free biochemical contrast, but its clinical u... read more 
Computer Vision and Pattern Recognition cs.AI

Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection

arXiv Apr 28, 2026
Domain shift, where deviations between training and deployment data distributions degrade model performance, is a key challenge in underwater environments. Existing benchmarks testing performance for underwater domain shift simulate variability throu... read more 
Computer Vision and Pattern Recognition cs.LG cs.RO

Predicting intracranial aneurysm rupture risk and intervention outcomes using denoising-enhanced CT Angiography.

AJNR. American journal of neuroradiology Apr 28, 2026
BACKGROUND AND PURPOSE: To develop a comprehensive multi-modal framework for assessing the rupture risk of intracranial aneurysms and predicting intervention outcomes. In addition, it seeks to a novel denoising algorithm to enhance the quality of CTA... read more 

Passive acoustic monitoring as a tool for early detection of invasive animal species: a systematic review and a case study

bioRxiv Apr 28, 2026
Invasive animal species are spreading rapidly across the globe, creating an urgent need for efficient early-detection and monitoring tools. Passive acoustic monitoring has become an established method in biodiversity research, but its application to ... read more 
ecology

Accurate ab initio gene prediction in eukaryotes with Tiberius in multiple clades

bioRxiv Apr 28, 2026
Eukaryotic genome annotation is currently bottlenecked by limitations in the generality, scalability and accuracy of computational methods. Deep learning approaches have recently achieved large improvements in ab initio gene prediction accuracy. We e... read more 
bioinformatics

A Multi-modal LLM-Knowledge Fusion Framework for Predicting Single-cell Genetic Perturbation Effects

bioRxiv Apr 28, 2026
Understanding cellular responses to genetic perturbations is fundamental for drug discovery, yet experimental approaches face significant limitations in coverage and cost that prevent comprehensive mapping of cellular behavior. This has motivated the... read more 
bioinformatics
Popular Topics
Recent Journals