Artificial Intelligence Medical Compendium

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

Showing 54,971 to 54,980 of 226,183 articles

Uncertainty-Aware Image Classification In Biomedical Imaging Using Spectral-normalized Neural Gaussian Processes

arXiv Feb 2, 2026
Accurate histopathologic interpretation is key for clinical decision-making; however, current deep learning models for digital pathology are often overconfident and poorly calibrated in out-of-distribution (OOD) settings, which limit trust and clinic... read more 
Computer Vision and Pattern Recognition

NAB: Neural Adaptive Binning for Sparse-View CT reconstruction

arXiv Feb 2, 2026
Computed Tomography (CT) plays a vital role in inspecting the internal structures of industrial objects. Furthermore, achieving high-quality CT reconstruction from sparse views is essential for reducing production costs. While classic implicit neural... read more 
Computer Vision and Pattern Recognition cs.LG

Implicit neural representation of textures

arXiv Feb 2, 2026
Implicit neural representation (INR) has proven to be accurate and efficient in various domains. In this work, we explore how different neural networks can be designed as a new texture INR, which operates in a continuous manner rather than a discrete... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR cs.LG

EvalQReason: A Framework for Step-Level Reasoning Evaluation in Large Language Models

arXiv Feb 2, 2026
Large Language Models (LLMs) are increasingly deployed in critical applications requiring reliable reasoning, yet their internal reasoning processes remain difficult to evaluate systematically. Existing methods focus on final-answer correctness, prov... read more 
Machine Learning

Variational Entropic Optimal Transport

arXiv Feb 2, 2026
Entropic optimal transport (EOT) in continuous spaces with quadratic cost is a classical tool for solving the domain translation problem. In practice, recent approaches optimize a weak dual EOT objective depending on a single potential, but doing so ... read more 
Machine Learning

Geometry- and Relation-Aware Diffusion for EEG Super-Resolution

arXiv Feb 2, 2026
Recent electroencephalography (EEG) spatial super-resolution (SR) methods, while showing improved quality by either directly predicting missing signals from visible channels or adapting latent diffusion-based generative modeling to temporal data, oft... read more 
Machine Learning cs.AI

Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts

arXiv Feb 2, 2026
We study the problem of monitoring model performance in dynamic environments where labeled data are limited. To this end, we propose prediction-powered risk monitoring (PPRM), a semi-supervised risk-monitoring approach based on prediction-powered inf... read more 
Machine Learning eess.SP

Show, Don't Tell: Morphing Latent Reasoning into Image Generation

arXiv Feb 2, 2026
Text-to-image (T2I) generation has achieved remarkable progress, yet existing methods often lack the ability to dynamically reason and refine during generation--a hallmark of human creativity. Current reasoning-augmented paradigms most rely on explic... read more 
Computer Vision and Pattern Recognition

Spectral Superposition: A Theory of Feature Geometry

arXiv Feb 2, 2026
Neural networks represent more features than they have dimensions via superposition, forcing features to share representational space. Current methods decompose activations into sparse linear features but discard geometric structure. We develop a the... read more 
Machine Learning cs.AI math.SP stat.ML

MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection

arXiv Feb 2, 2026
High-fidelity generative models have narrowed the perceptual gap between synthetic and real images, posing serious threats to media security. Most existing AI-generated image (AIGI) detectors rely on artifact-based classification and struggle to gene... read more 
Computer Vision and Pattern Recognition cs.CR
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