Artificial Intelligence Medical Compendium

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

Showing 31,891 to 31,900 of 220,797 articles

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

Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language Models

arXiv Apr 13, 2026
Despite their impressive zero-shot abilities, vision-language models such as CLIP have been shown to be susceptible to adversarial attacks. To enhance its adversarial robustness, recent studies finetune the pretrained vision encoder of CLIP with adve... read more 
Computer Vision and Pattern Recognition

Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions

arXiv Apr 13, 2026
We address the problem of tactile localization, where the goal is to identify image regions that share the same material properties as a tactile input. Existing visuo-tactile methods rely on global alignment and thus fail to capture the fine-grained ... read more 
Computer Vision and Pattern Recognition

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

arXiv Apr 13, 2026
Most reward models for visual generation reduce rich human judgments to a single unexplained score, discarding the reasoning that underlies preference. We show that teaching reward models to produce explicit, multi-dimensional critiques before scorin... read more 
Artificial Intelligence cs.LG

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

arXiv Apr 13, 2026
Most reward models for visual generation reduce rich human judgments to a single unexplained score, discarding the reasoning that underlies preference. We show that teaching reward models to produce explicit, multi-dimensional critiques before scorin... read more 
Artificial Intelligence cs.LG

GazeVaLM: A Multi-Observer Eye-Tracking Benchmark for Evaluating Clinical Realism in AI-Generated X-Rays

arXiv Apr 13, 2026
We introduce GazeVaLM, a public eye-tracking dataset for studying clinical perception during chest radiograph authenticity assessment. The dataset comprises 960 gaze recordings from 16 expert radiologists interpreting 30 real and 30 synthetic chest X... read more 
Computer Vision and Pattern Recognition
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