Artificial Intelligence Medical Compendium

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

Showing 54,881 to 54,890 of 226,183 articles

Reformulating AI-based Multi-Object Relative State Estimation for Aleatoric Uncertainty-based Outlier Rejection of Partial Measurements

arXiv Feb 2, 2026
Precise localization with respect to a set of objects of interest enables mobile robots to perform various tasks. With the rise of edge devices capable of deploying deep neural networks (DNNs) for real-time inference, it stands to reason to use artif... read more 
Robotics

Rethinking Genomic Modeling Through Optical Character Recognition

arXiv Feb 2, 2026
Recent genomic foundation models largely adopt large language model architectures that treat DNA as a one-dimensional token sequence. However, exhaustive sequential reading is structurally misaligned with sparse and discontinuous genomic semantics, l... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation

arXiv Feb 2, 2026
Advertising image generation has increasingly focused on online metrics like Click-Through Rate (CTR), yet existing approaches adopt a ``one-size-fits-all" strategy that optimizes for overall CTR while neglecting preference diversity among user group... read more 
Computer Vision and Pattern Recognition cs.AI

Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models

arXiv Feb 2, 2026
Modern Vision-Language Models (VLMs) exhibit a critical flaw in compositional reasoning, often confusing "a red cube and a blue sphere" with "a blue cube and a red sphere". Disentangling the visual and linguistic roots of these failures is a fundamen... read more 
Computer Vision and Pattern Recognition cs.AI

On Stability and Robustness of Diffusion Posterior Sampling for Bayesian Inverse Problems

arXiv Feb 2, 2026
Diffusion models have recently emerged as powerful learned priors for Bayesian inverse problems (BIPs). Diffusion-based solvers rely on a presumed likelihood for the observations in BIPs to guide the generation process. However, the link between like... read more 
Machine Learning

FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance

arXiv Feb 2, 2026
Multimodal foundation models integrate heterogeneous signals across modalities, yet it remains poorly understood how their predictions depend on specific internal feature groups and whether such reliance can be deliberately controlled. Existing studi... read more 
Machine Learning cs.AI

Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data

arXiv Feb 2, 2026
Coronary artery stenosis is a leading cause of cardiovascular disease, diagnosed by analyzing the coronary arteries from multiple angiography views. Although numerous deep-learning models have been proposed for stenosis detection from a single angiog... read more 
Computer Vision and Pattern Recognition cs.AI

FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space

arXiv Feb 2, 2026
We introduce FSVideo, a fast speed transformer-based image-to-video (I2V) diffusion framework. We build our framework on the following key components: 1.) a new video autoencoder with highly-compressed latent space ($64\times64\times4$ spatial-tempor... read more 
Computer Vision and Pattern Recognition

Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training

arXiv Feb 2, 2026
Continuous Conditional Diffusion Model (CCDM) is a diffusion-based framework designed to generate high-quality images conditioned on continuous regression labels. Although CCDM has demonstrated clear advantages over prior approaches across a range of... read more 
Computer Vision and Pattern Recognition cs.LG

Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies

arXiv Feb 2, 2026
Drug-induced toxicity remains a leading cause of failure in preclinical development and early clinical trials. Detecting adverse effects at an early stage is critical to reduce attrition and accelerate the development of safe medicines. Histopatholog... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
Popular Topics
Recent Journals