Artificial Intelligence Medical Compendium

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

Showing 31,621 to 31,630 of 220,544 articles

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers

arXiv Apr 13, 2026
Artificial intelligence (AI) is moving increasingly beyond prediction to support decisions in complex, uncertain, and dynamic environments. This shift creates a natural intersection with operations research and management sciences (OR/MS), which have... read more 
Optimization and Control cs.AI cs.LG eess.SY stat.ML

Not All Forgetting Is Equal: Architecture-Dependent Retention Dynamics in Fine-Tuned Image Classifiers

arXiv Apr 13, 2026
Fine-tuning pretrained image classifiers is standard practice, yet which individual samples are forgotten during this process, and whether forgetting patterns are stable or architecture dependent, remains unclear. Understanding these dynamics has dir... read more 
Machine Learning cs.AI

Continuous Adversarial Flow Models

arXiv Apr 13, 2026
We propose continuous adversarial flow models, a type of continuous-time flow model trained with an adversarial objective. Unlike flow matching, which uses a fixed mean-squared-error criterion, our approach introduces a learned discriminator to guide... read more 
Machine Learning cs.CV

SVD-Prune: Training-Free Token Pruning For Efficient Vision-Language Models

arXiv Apr 13, 2026
Vision-Language Models (VLM) have revolutionized multimodal learning by jointly processing visual and textual information. Yet, they face significant challenges due to the high computational and memory demands of processing long sequences of vision t... read more 
Computer Vision and Pattern Recognition cs.AI

CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding Space

arXiv Apr 13, 2026
Human perception of visual similarity is inherently adaptive and subjective, depending on the users' interests and focus. However, most image retrieval systems fail to reflect this flexibility, relying on a fixed, monolithic metric that cannot incorp... read more 
Computer Vision and Pattern Recognition cs.AI

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach

arXiv Apr 13, 2026
While large language models hold promise for complex medical applications, their development is hindered by the scarcity of high-quality reasoning data. To address this issue, existing approaches typically distill chain-of-thought reasoning traces fr... read more 
Machine Learning cs.CL

Human Centered Non Intrusive Driver State Modeling Using Personalized Physiological Signals in Real World Automated Driving

arXiv Apr 13, 2026
In vehicles with partial or conditional driving automation (SAE Levels 2-3), the driver remains responsible for supervising the system and responding to take-over requests. Therefore, reliable driver monitoring is essential for safe human-automation ... read more 
Human-Computer Interaction cs.LG cs.RO

Progressively Texture-Aware Diffusion for Contrast-Enhanced Sparse-View CT

arXiv Apr 13, 2026
Diffusion-based sparse-view CT (SVCT) imaging has achieved remarkable advancements in recent years, thanks to its more stable generative capability. However, recovering reliable image content and visually consistent textures is still a crucial challe... read more 
Computer Vision and Pattern Recognition physics.med-ph

The Impact of Federated Learning on Distributed Remote Sensing Archives

arXiv Apr 13, 2026
Remote sensing archives are inherently distributed: Earth observation missions such as Sentinel-1, Sentinel-2, and Sentinel-3 have collectively accumulated more than 5 petabytes of imagery, stored and processed across many geographically dispersed pl... read more 
Computer Vision and Pattern Recognition

Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation

arXiv Apr 13, 2026
Single-image super-resolution has progressed from deep convolutional baselines to stronger Transformer and state-space architectures, yet the corresponding performance gains typically come with higher training cost, longer engineering iteration, and ... read more 
Computer Vision and Pattern Recognition
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