Artificial Intelligence Medical Compendium

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

Showing 44,281 to 44,290 of 224,055 articles

Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering

arXiv Mar 6, 2026
Agentic retrieval-augmented reasoning pipelines are increasingly used to structure how large language models (LLMs) incorporate external evidence in clinical decision support. These systems iteratively retrieve curated domain knowledge and synthesize... read more 
Machine Learning cs.AI

Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution

arXiv Mar 6, 2026
Diffusion transformer (DiT) architectures show great potential for real-world image super-resolution (Real-ISR). However, their computationally expensive iterative sampling necessitates one-step distillation. Existing one-step distillation methods st... read more 
Computer Vision and Pattern Recognition

3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models

arXiv Mar 6, 2026
Cone-beam computed tomography (CBCT) is a widely used 3D imaging technique in dentistry, offering high-resolution images while minimising radiation exposure for patients. However, CBCT is highly susceptible to artefacts arising from high-density obje... read more 
Computer Vision and Pattern Recognition cs.LG

DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models

arXiv Mar 6, 2026
As Vision-Language Models (VLMs) become increasingly sophisticated and widely used, it becomes more and more crucial to understand their decision-making process. Traditional explainability methods, designed for classification tasks, struggle with mod... read more 
Computer Vision and Pattern Recognition cs.AI

Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis

arXiv Mar 6, 2026
The reliability of safety-critical industrial systems hinges on accurate and robust fault diagnosis in rotating machinery. Conventional graph neural networks (GNNs) for machinery fault diagnosis face limitations in modeling complex dynamic interactio... read more 
Machine Learning

Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces

arXiv Mar 6, 2026
Adversarial attacks are a central tool for probing the robustness of modern vision models, yet most methods optimize perturbations directly in pixel space under $\ell_\infty$ or $\ell_2$ constraints. While effective in white-box settings, pixel-space... read more 
Computer Vision and Pattern Recognition

WMoE-CLIP: Wavelet-Enhanced Mixture-of-Experts Prompt Learning for Zero-Shot Anomaly Detection

arXiv Mar 6, 2026
Vision-language models have recently shown strong generalization in zero-shot anomaly detection (ZSAD), enabling the detection of unseen anomalies without task-specific supervision. However, existing approaches typically rely on fixed textual prompts... read more 
Computer Vision and Pattern Recognition

The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks

arXiv Mar 6, 2026
This study explores artificial visual creativity, focusing on ChatGPT's ability to generate new images intentionally pastiching original artworks such as paintings, drawings, sculptures and installations. The process involved twelve artists from Roma... read more 
Computation and Language cs.CV

AI End-to-End Radiation Treatment Planning Under One Second

arXiv Mar 6, 2026
Artificial intelligence-based radiation therapy (RT) planning has the potential to reduce planning time and inter-planner variability, improving efficiency and consistency in clinical workflows. Most existing automated approaches rely on multiple dos... read more 
Image and Video Processing cs.AI cs.LG eess.SY physics.med-ph

K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging

arXiv Mar 6, 2026
Large-scale biomedical vision-language models (VLMs) adapted on high-end imaging (e.g., CT) often fail to transfer to frontline low-end modalities (e.g., radiography), collapsing into modality-specific shortcuts. We propose K-MaT (Knowledge-Anchored ... read more 
Computer Vision and Pattern Recognition cs.AI
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