Artificial Intelligence Medical Compendium

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

Showing 51,391 to 51,400 of 225,182 articles

MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning

arXiv Feb 11, 2026
Metaphorical comprehension in images remains a critical challenge for Nowadays AI systems. While Multimodal Large Language Models (MLLMs) excel at basic Visual Question Answering (VQA), they consistently struggle to grasp the nuanced cultural, emotio... read more 
Computer Vision and Pattern Recognition cs.AI cs.CY

Enhancing Underwater Images via Adaptive Semantic-aware Codebook Learning

arXiv Feb 11, 2026
Underwater Image Enhancement (UIE) is an ill-posed problem where natural clean references are not available, and the degradation levels vary significantly across semantic regions. Existing UIE methods treat images with a single global model and ignor... read more 
Computer Vision and Pattern Recognition eess.IV

Fast Person Detection Using YOLOX With AI Accelerator For Train Station Safety

arXiv Feb 11, 2026
Recently, Image processing has advanced Faster and applied in many fields, including health, industry, and transportation. In the transportation sector, object detection is widely used to improve security, for example, in traffic security and passeng... read more 
Computer Vision and Pattern Recognition

dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning

arXiv Feb 11, 2026
Genomic foundation models have the potential to decode DNA syntax, yet face a fundamental tradeoff in their input representation. Standard fixed-vocabulary tokenizers fragment biologically meaningful motifs such as codons and regulatory elements, whi... read more 
Machine Learning

Pupillometry and Brain Dynamics for Cognitive Load in Working Memory

arXiv Feb 11, 2026
Cognitive load, the mental effort required during working memory, is central to neuroscience, psychology, and human-computer interaction. Accurate assessment is vital for adaptive learning, clinical monitoring, and brain-computer interfaces. Physiolo... read more 
Machine Learning

Improving Medical Visual Reinforcement Fine-Tuning via Perception and Reasoning Augmentation

arXiv Feb 11, 2026
While recent advances in Reinforcement Fine-Tuning (RFT) have shown that rule-based reward schemes can enable effective post-training for large language models, their extension to cross-modal, vision-centric domains remains largely underexplored. Thi... read more 
Computer Vision and Pattern Recognition

A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology

arXiv Feb 11, 2026
Medical foundation models have shown promise in controlled benchmarks, yet widespread deployment remains hindered by reliance on task-specific fine-tuning. Here, we introduce DermFM-Zero, a dermatology vision-language foundation model trained via mas... read more 
Computer Vision and Pattern Recognition cs.AI

Eliminating VAE for Fast and High-Resolution Generative Detail Restoration

arXiv Feb 11, 2026
Diffusion models have attained remarkable breakthroughs in the real-world super-resolution (SR) task, albeit at slow inference and high demand on devices. To accelerate inference, recent works like GenDR adopt step distillation to minimize the step n... read more 
Computer Vision and Pattern Recognition

Generative clinical time series models trained on moderate amounts of patient data are privacy preserving

arXiv Feb 11, 2026
Sharing medical data for machine learning model training purposes is often impossible due to the risk of disclosing identifying information about individual patients. Synthetic data produced by generative artificial intelligence (genAI) models traine... read more 
Machine Learning

Multimodal Priors-Augmented Text-Driven 3D Human-Object Interaction Generation

arXiv Feb 11, 2026
We address the challenging task of text-driven 3D human-object interaction (HOI) motion generation. Existing methods primarily rely on a direct text-to-HOI mapping, which suffers from three key limitations due to the significant cross-modality gap: (... read more 
Computer Vision and Pattern Recognition
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