Artificial Intelligence Medical Compendium

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

Showing 24,091 to 24,100 of 217,366 articles

Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection

arXiv Apr 30, 2026
AI-generated images are becoming increasingly realistic and diverse, posing significant challenges for generalizable detection. While Vision Foundation Models (VFMs) provide rich semantic representations and frequency-based methods capture complement... read more 
Computer Vision and Pattern Recognition

HiMix: Hierarchical Artifact-aware Mixup for Generalized Synthetic Image Detection

arXiv Apr 30, 2026
The rapid evolution of generative models has enabled the creation of highly realistic and diverse synthetic images, posing significant challenges to reliable and generalizable Synthetic Image Detection (SID). However, existing detectors are typically... read more 
Computer Vision and Pattern Recognition

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

arXiv Apr 30, 2026
Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, question answering, summarization, image classification, and so on. The ... read more 
Machine Learning cs.ET cs.NE

Generate Your Talking Avatar from Video Reference

arXiv Apr 30, 2026
Existing talking avatar methods typically adopt an image-to-video pipeline conditioned on a static reference image within the same scene as the target generation. This restricted, single-view perspective lacks sufficient temporal and expression cues,... read more 
Computer Vision and Pattern Recognition

Enhancing multimodal affect recognition in healthcare: the robustness of appraisal dimensions over labels within age groups and in cross-age generalisation

arXiv Apr 30, 2026
The integration of artificial intelligence (AI) into healthcare has advanced significantly, yet affect recognition remains a major challenge, particularly in AI-assisted interventions such as Computerized Cognitive Training (CCT). The THERADIA-WoZ co... read more 
Human-Computer Interaction

Diffusion-OAMP for Joint Image Compression and Wireless Transmission

arXiv Apr 30, 2026
Joint image compression and wireless transmission remain relatively underexplored compared to generic image restoration, despite its importance in practical communication systems. We formulate this problem under an equivalent linear model, and propos... read more 
Image and Video Processing cs.IT cs.LG

The Effects of Visual Priming on Cooperative Behavior in Vision-Language Models

arXiv Apr 30, 2026
As Vision-Language Models (VLMs) become increasingly integrated into decision-making systems, it is essential to understand how visual inputs influence their behavior. This paper investigates the effects of visual priming on VLMs' cooperative behavio... read more 
Artificial Intelligence cs.CV

Differentiable latent structure discovery for interpretable forecasting in clinical time series

arXiv Apr 30, 2026
Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice interpretability. We introduce StructGP, a continuous-time ... read more 
Machine Learning

ClimateVID -- Social Media Videos Analysis and Challenges Involved

arXiv Apr 30, 2026
The pervasive growth of digital content, specifically short videos on social media platforms, has significantly altered how topics are discussed and understood in public discourse. In this work, we advance automated visual theme detection by assessin... read more 
Computer Vision and Pattern Recognition

Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care

arXiv Apr 30, 2026
We reframe clinician overrides of clinical AI recommendations as implicit preference data - the same signal structure exploited by reinforcement learning from human feedback (RLHF), but richer: the annotator is a domain expert, the alternatives carry... read more 
Machine Learning cs.AI
Popular Topics
Recent Journals