Artificial Intelligence Medical Compendium

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

Showing 49,871 to 49,880 of 224,814 articles

Accelerating Large-Scale Dataset Distillation via Exploration-Exploitation Optimization

arXiv Feb 17, 2026
Dataset distillation compresses the original data into compact synthetic datasets, reducing training time and storage while retaining model performance, enabling deployment under limited resources. Although recent decoupling-based distillation method... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Visual Persuasion: What Influences Decisions of Vision-Language Models?

arXiv Feb 17, 2026
The web is littered with images, once created for human consumption and now increasingly interpreted by agents using vision-language models (VLMs). These agents make visual decisions at scale, deciding what to click, recommend, or buy. Yet, we know l... read more 
Computer Vision and Pattern Recognition cs.AI

Consistency-Preserving Diverse Video Generation

arXiv Feb 17, 2026
Text-to-video generation is expensive, so only a few samples are typically produced per prompt. In this low-sample regime, maximizing the value of each batch requires high cross-video diversity. Recent methods improve diversity for image generation, ... read more 
Computer Vision and Pattern Recognition

Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization

arXiv Feb 17, 2026
Collaborative clinical decision support is often constrained by governance and privacy rules that prevent pooling patient-level records across institutions. We present a hybrid privacy-preserving framework that combines Federated Learning (FL) and Sp... read more 
Machine Learning cs.AI

Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models

arXiv Feb 17, 2026
Zero-shot anomaly detection (ZSAD) has gained increasing attention in medical imaging as a way to identify abnormalities without task-specific supervision, but most advances remain limited to 2D datasets. Extending ZSAD to 3D medical images has prove... read more 
Computer Vision and Pattern Recognition stat.ML

A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining

arXiv Feb 17, 2026
The long-tail distribution, where a few head labels dominate while rare tail labels abound, poses a persistent challenge for large-scale Multi-Label Classification (MLC) in real-world data mining applications. Existing resampling and reweighting stra... read more 
Machine Learning cs.AI

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification

arXiv Feb 17, 2026
Reliable interpretation of cardiac ultrasound images is essential for accurate clinical diagnosis and assessment. Self-supervised learning has shown promise in medical imaging by leveraging large unlabelled datasets to learn meaningful representation... read more 
Image and Video Processing cs.AI cs.CV

Effective and Robust Multimodal Medical Image Analysis

arXiv Feb 17, 2026
Multimodal Fusion Learning (MFL), leveraging disparate data from various imaging modalities (e.g., MRI, CT, SPECT), has shown great potential for addressing medical problems such as skin cancer and brain tumor prediction. However, existing MFL method... read more 
Computer Vision and Pattern Recognition

GMAIL: Generative Modality Alignment for generated Image Learning

arXiv Feb 17, 2026
Generative models have made it possible to synthesize highly realistic images, potentially providing an abundant data source for training machine learning models. Despite the advantages of these synthesizable data sources, the indiscriminate use of g... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

From PhysioNet to Foundation Models -- A history and potential futures

arXiv Feb 17, 2026
Over the last 35 years, the sharing of medical data and models for research has evolved from sneakernet to the internet - from mailing magnetic tapes and compact discs of a handful of well-curated recordings, to the high-speed download of relatively ... read more 
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