Artificial Intelligence Medical Compendium

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

Showing 28,921 to 28,930 of 219,647 articles

TREM-1-Associated Neutrophil Extracellular Trap Formation is Linked to IVIG Resistance in Kawasaki Disease: A Convergent Transcriptomic and Prospective Validation Study.

Journal of clinical immunology Apr 21, 2026
Kawasaki disease (KD) remains the leading cause of acquired heart disease in children. While intravenous immunoglobulin (IVIG) represents standard therapy, approximately 10-20% of patients exhibit treatment refractoriness associated with significantl... read more 

Altered microbial cargo in fecal microbiome-derived outer membrane vesicles as novel biomarkers for vascular dementia.

BMC microbiology Apr 21, 2026
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SuperLearner approach for predicting imminent risk of fracture in older Chinese patients with newly diagnosed osteoporosis based on their routine blood test markers.

BMC musculoskeletal disorders Apr 21, 2026
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Normalizing Flows with Iterative Denoising

arXiv Apr 21, 2026
Normalizing Flows (NFs) are a classical family of likelihood-based methods that have received revived attention. Recent efforts such as TARFlow have shown that NFs are capable of achieving promising performance on image modeling tasks, making them ... read more 
Computer Vision and Pattern Recognition cs.AI

Bootstrapping Post-training Signals for Open-ended Tasks via Rubric-based Self-play on Pre-training Text

arXiv Apr 21, 2026
Self-play has recently emerged as a promising paradigm to train Large Language Models (LLMs). In self-play, the target LLM creates the task input (e.g., ask a question), which it then addresses itself by producing a task output (e.g., give an answer)... read more 
Computation and Language cs.LG

Federated Learning over Blockchain-Enabled Cloud Infrastructure

arXiv Apr 21, 2026
The rise of IoT devices and the uptake of cloud computing have informed a new era of data-driven intelligence. Traditional centralized machine learning models that require a large volume of data to be stored in a single location have therefore become... read more 
Machine Learning cs.CR cs.DC

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation

arXiv Apr 21, 2026
Generating high-quality videos from complex temporal descriptions that contain multiple sequential actions is a key unsolved problem. Existing methods are constrained by an inherent trade-off: using multiple short prompts fed sequentially into the mo... read more 
Computer Vision and Pattern Recognition

Deep sprite-based image models: An analysis

arXiv Apr 21, 2026
While foundation models drive steady progress in image segmentation and diffusion algorithms compose always more realistic images, the seemingly simple problem of identifying recurrent patterns in a collection of images remains very much open. In thi... read more 
Computer Vision and Pattern Recognition

Seeing Candidates at Scale: Multimodal LLMs for Visual Political Communication on Instagram

arXiv Apr 21, 2026
This paper presents a computational case study that evaluates the capabilities of specialized machine learning models and emerging multimodal large language models for Visual Political Communication (VPC) analysis. Focusing on concentrated visibility... read more 
Computer Vision and Pattern Recognition cs.CY

Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection

arXiv Apr 21, 2026
Variability in illumination is a primary factor limiting deep learning robustness for field-based plant disease detection. This study evaluates Histogram Matching (HM), a technique that transforms the pixel intensity distribution of an image to match... read more 
Computer Vision and Pattern Recognition
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