Artificial Intelligence Medical Compendium

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

Showing 56,961 to 56,970 of 227,153 articles

One-step Latent-free Image Generation with Pixel Mean Flows

arXiv Jan 29, 2026
Modern diffusion/flow-based models for image generation typically exhibit two core characteristics: (i) using multi-step sampling, and (ii) operating in a latent space. Recent advances have made encouraging progress on each aspect individually, pavin... read more 
Computer Vision and Pattern Recognition

Neural Signals Generate Clinical Notes in the Wild

arXiv Jan 29, 2026
Generating clinical reports that summarize abnormal patterns, diagnostic findings, and clinical interpretations from long-term EEG recordings remains labor-intensive. We curate a large-scale clinical EEG dataset with $9{,}922$ reports paired with app... read more 
Machine Learning cs.AI eess.SP

What Lies Beneath: A Call for Distribution-based Visual Question & Answer Datasets

arXiv Jan 29, 2026
Visual Question Answering (VQA) has become an important benchmark for assessing how large multimodal models (LMMs) interpret images. However, most VQA datasets focus on real-world images or simple diagrammatic analysis, with few focused on interpreti... read more 
Computer Vision and Pattern Recognition cs.DL

Lost in Space? Vision-Language Models Struggle with Relative Camera Pose Estimation

arXiv Jan 29, 2026
Vision-Language Models (VLMs) perform well in 2D perception and semantic reasoning compared to their limited understanding of 3D spatial structure. We investigate this gap using relative camera pose estimation (RCPE), a fundamental vision task that r... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Is Hierarchical Quantization Essential for Optimal Reconstruction?

arXiv Jan 29, 2026
Vector-quantized variational autoencoders (VQ-VAEs) are central to models that rely on high reconstruction fidelity, from neural compression to generative pipelines. Hierarchical extensions, such as VQ-VAE2, are often credited with superior reconstru... read more 
Computer Vision and Pattern Recognition cs.LG

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models

arXiv Jan 29, 2026
In principle, Continuous Integration (CI) pipeline failures provide valuable feedback to developers on code-related errors. In practice, however, pipeline jobs often fail intermittently due to non-deterministic tests, network outages, infrastructure ... read more 
Software Engineering cs.AI cs.CL cs.LG

Privacy-Preserving Sensor-Based Human Activity Recognition for Low-Resource Healthcare Using Classical Machine Learning

arXiv Jan 29, 2026
Limited access to medical infrastructure forces elderly and vulnerable patients to rely on home-based care, often leading to neglect and poor adherence to therapeutic exercises such as yoga or physiotherapy. To address this gap, we propose a low-cost... read more 
Machine Learning cs.NI

SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models

arXiv Jan 29, 2026
As Text-to-Image (T2I) diffusion models are increasingly used in real-world creative workflows, a principled framework for valuing contributors who provide a collection of data is essential for fair compensation and sustainable data marketplaces. Whi... read more 
Machine Learning cs.CV

A new paradigm for electrical modeling in site leakage diagnostics: A label-scarce three-dimensional simulation surrogate using physics-informed neural networks.

Water research Jan 29, 2026
Electrical leakage diagnostics is central to source-oriented industrial site management. In both conventional workflows and modern machine learning (ML) frameworks, large simulation ensembles are necessary in finite element method (FEM) forward model... read more 

Determinants and interrelations of exercise effects on sleep quality: A multimethod meta-analysis.

Sleep medicine reviews Jan 29, 2026
BACKGROUND: This systematic review and Bayesian meta-analysis examined determinants of exercise effects on subjective sleep quality. METHODS: We searched PubMed, Embase, Cochrane Library, Web of Science, Scopus and CINAHL from inception to August 202... read more 
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