Artificial Intelligence Medical Compendium

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

Showing 51,281 to 51,290 of 225,182 articles

PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling

arXiv Feb 12, 2026
Understanding how anatomical shapes evolve in response to developmental covariates and quantifying their spatially varying uncertainties is critical in healthcare research. Existing approaches typically rely on global time-warping formulations that i... read more 
Machine Learning

External Division of Two Bregman Proximity Operators for Poisson Inverse Problems

arXiv Feb 12, 2026
This paper presents a novel method for recovering sparse vectors from linear models corrupted by Poisson noise. The contribution is twofold. First, an operator defined via the external division of two Bregman proximity operators is introduced to prom... read more 
Machine Learning

Arbitrary Ratio Feature Compression via Next Token Prediction

arXiv Feb 12, 2026
Feature compression is increasingly important for improving the efficiency of downstream tasks, especially in applications involving large-scale or multi-modal data. While existing methods typically rely on dedicated models for achieving specific com... read more 
Computer Vision and Pattern Recognition

What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation

arXiv Feb 12, 2026
Multimodal Large Language Models have shown promising capabilities in bridging visual and textual reasoning, yet their reasoning capabilities in Open-Vocabulary Human-Object Interaction (OV-HOI) are limited by cross-modal hallucinations and occlusion... read more 
Computer Vision and Pattern Recognition

Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models

arXiv Feb 12, 2026
Individualized treatment rules (ITRs) aim to optimize healthcare by tailoring treatment decisions to patient-specific characteristics. Existing methods typically rely on either interpretable but inflexible models or highly flexible black-box approach... read more 
Methodology cs.AI cs.LG stat.ML

Vascular anatomy-aware self-supervised pre-training for X-ray angiogram analysis

arXiv Feb 12, 2026
X-ray angiography is the gold standard imaging modality for cardiovascular diseases. However, current deep learning approaches for X-ray angiogram analysis are severely constrained by the scarcity of annotated data. While large-scale self-supervised ... read more 
Computer Vision and Pattern Recognition

Supervise-assisted Multi-modality Fusion Diffusion Model for PET Restoration

arXiv Feb 12, 2026
Positron emission tomography (PET) offers powerful functional imaging but involves radiation exposure. Efforts to reduce this exposure by lowering the radiotracer dose or scan time can degrade image quality. While using magnetic resonance (MR) images... read more 
Computer Vision and Pattern Recognition

Perception-based Image Denoising via Generative Compression

arXiv Feb 12, 2026
Image denoising aims to remove noise while preserving structural details and perceptual realism, yet distortion-driven methods often produce over-smoothed reconstructions, especially under strong noise and distribution shift. This paper proposes a ge... read more 
Computer Vision and Pattern Recognition cs.AI

Brain4FMs: A Benchmark of Foundation Models for Electrical Brain Signal

arXiv Feb 12, 2026
Brain Foundation Models (BFMs) are transforming neuroscience by enabling scalable and transferable learning from neural signals, advancing both clinical diagnostics and cutting-edge neuroscience exploration. Their emergence is powered by large-scale ... read more 
Machine Learning

A Large Language Model for Disaster Structural Reconnaissance Summarization

arXiv Feb 12, 2026
Artificial Intelligence (AI)-aided vision-based Structural Health Monitoring (SHM) has emerged as an effective approach for monitoring and assessing structural condition by analyzing image and video data. By integrating Computer Vision (CV) and Deep ... read more 
Computer Vision and Pattern Recognition
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