Artificial Intelligence Medical Compendium

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

Showing 24,521 to 24,530 of 217,425 articles

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution

arXiv Apr 29, 2026
High-precision medical diagnosis relies not only on static imaging features but also on the implicit diagnostic memory experts instantly invoke during image interpretation. We pinpoint a fundamental cognitive misalignment in medical VLMs caused by di... read more 
Computer Vision and Pattern Recognition cs.AI

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

arXiv Apr 29, 2026
Chest X-ray interpretation is one of the most frequently performed diagnostic tasks in medicine and a primary target for AI development, yet current vision--language models are primarily trained on datasets of paired images and reports, not the cogni... read more 
Computer Vision and Pattern Recognition cs.AI

CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation

arXiv Apr 29, 2026
Chest X-ray interpretation is one of the most frequently performed diagnostic tasks in medicine and a primary target for AI development, yet current vision-language models are primarily trained on datasets of paired images and reports, not the cognit... read more 
Computer Vision and Pattern Recognition cs.AI

NeuroPlastic: A Plasticity-Modulated Optimizer for Biologically Inspired Learning Dynamics

arXiv Apr 29, 2026
Optimization algorithms are fundamental to modern deep learning, yet most widely used methods rely on update rules based primarily on local gradient statistics. We introduce NeuroPlastic, a plasticity-modulated optimizer that augments gradient-based ... read more 
Machine Learning

The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches

arXiv Apr 29, 2026
The vulnerabilities of deep neural networks against singularities have raised serious concerns regarding their deployment in the physical world. One of the most prominent and impactful physical-world adversarial perturbations is the attachment of pat... read more 
Computer Vision and Pattern Recognition

Motion-Driven Multi-Object Tracking of Model Organisms in Space Science Experiments

arXiv Apr 29, 2026
Automated animal behavior analysis relies on long-term, interpretable individual trajectories; however, multi-animal tracking in space science experimental videos remains highly challenging due to weak appearance cues, low-quality imaging, complex ma... read more 
Computer Vision and Pattern Recognition

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation

arXiv Apr 29, 2026
Exploiting deep learning in medical imaging faces critical challenges, including strict privacy constraints, heterogeneous imaging devices with varying acquisition properties, and class imbalance due to the uneven prevalence of pathologies. In this w... read more 
Computer Vision and Pattern Recognition

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

arXiv Apr 29, 2026
As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data and clinical operations. In this context, this paper... read more 
Cryptography and Security eess.SP

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness

arXiv Apr 29, 2026
Recent unified image generation models have achieved remarkable success by employing MLLMs for semantic understanding and diffusion backbones for image generation. However, these models remain fundamentally limited in spatially-aware tasks due to a l... read more 
Computer Vision and Pattern Recognition

ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance

arXiv Apr 29, 2026
Diffusion models have achieved remarkable success in image generation, yet their training is predominantly driven by full-reference objectives that enforce pixel-wise similarity to ground-truth images.Such supervision, while effective for fidelity, m... read more 
Computer Vision and Pattern Recognition cs.AI
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