Artificial Intelligence Medical Compendium

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

Showing 55,271 to 55,280 of 226,647 articles

ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images

arXiv Feb 3, 2026
Generative text-to-image models are advancing at an unprecedented pace, continuously shifting the perceptual quality ceiling and rendering previously collected labels unreliable for newer generations. To address this, we present ELIQ, a Label-free Fr... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM

NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping

arXiv Feb 3, 2026
Sepsis is a heterogeneous syndrome. Identifying clinically distinct phenotypes may enable more precise treatment strategies. In recent years, many researchers have applied clustering algorithms to sepsis patients. However, the clustering process rare... read more 
Machine Learning

EHRWorld: A Patient-Centric Medical World Model for Long-Horizon Clinical Trajectories

arXiv Feb 3, 2026
World models offer a principled framework for simulating future states under interventions, but realizing such models in complex, high-stakes domains like medicine remains challenging. Recent large language models (LLMs) have achieved strong performa... read more 
Artificial Intelligence cs.LG

TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection

arXiv Feb 3, 2026
Anomaly detection identifies departures from expected behavior in safety-critical settings. When target-domain normal data are unavailable, zero-shot anomaly detection (ZSAD) leverages vision-language models (VLMs). However, CLIP's coarse image-text ... read more 
Computer Vision and Pattern Recognition

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

arXiv Feb 3, 2026
We present EB-JEPA, an open-source library for learning representations and world models using Joint-Embedding Predictive Architectures (JEPAs). JEPAs learn to predict in representation space rather than pixel space, avoiding the pitfalls of generati... read more 
Computer Vision and Pattern Recognition cs.AI

KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs

arXiv Feb 3, 2026
Training-free video understanding leverages the strong image comprehension capabilities of pre-trained vision language models (VLMs) by treating a video as a sequence of static frames, thus obviating the need for costly video-specific training. Howev... read more 
Computer Vision and Pattern Recognition

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis

arXiv Feb 3, 2026
Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic practice is typically challenged in terms of data heterogeneity, pote... read more 
Computer Vision and Pattern Recognition physics.med-ph

Multi-Objective Optimization for Synthetic-to-Real Style Transfer

arXiv Feb 3, 2026
Semantic segmentation networks require large amounts of pixel-level annotated data, which are costly to obtain for real-world images. Computer graphics engines can generate synthetic images alongside their ground-truth annotations. However, models tr... read more 
Computer Vision and Pattern Recognition

CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets

arXiv Feb 3, 2026
Generating synthetic tabular data under severe class imbalance is essential for domains where rare but high-impact events drive decision-making. However, most generative models either overlook minority groups or fail to produce samples that are usefu... read more 
Machine Learning

MM-SCALE: Grounded Multimodal Moral Reasoning via Scalar Judgment and Listwise Alignment

arXiv Feb 3, 2026
Vision-Language Models (VLMs) continue to struggle to make morally salient judgments in multimodal and socially ambiguous contexts. Prior works typically rely on binary or pairwise supervision, which often fail to capture the continuous and pluralist... read more 
Computer Vision and Pattern Recognition cs.HC
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