Artificial Intelligence Medical Compendium

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

Showing 46,221 to 46,230 of 224,055 articles

Electric-load forecasting using interval models based on granularity and justifiable principles.

Scientific reports Feb 27, 2026
Traditional load-forecasting methods rely heavily on extensive historical data to predict future values, thus limiting their applicability in long-term forecasts where historical data may be unavailable or irrelevant. While several forecasting techni... read more 

SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions.

Current psychiatry reports Feb 27, 2026
PURPOSE OF REVIEW: Machine learning predictive modeling can support scalable prevention of suicide-related behavior (SRB). SAFEGUARD is a three-pronged universal, indicated, and clinical SRB-prevention intervention system focused on key military care... read more 

UFO-4D: Unposed Feedforward 4D Reconstruction from Two Images

arXiv Feb 27, 2026
Dense 4D reconstruction from unposed images remains a critical challenge, with current methods relying on slow test-time optimization or fragmented, task-specific feedforward models. We introduce UFO-4D, a unified feedforward framework to reconstruct... read more 
Computer Vision and Pattern Recognition

Histopathology Image Normalization via Latent Manifold Compaction

arXiv Feb 27, 2026
Batch effects arising from technical variations in histopathology staining protocols, scanners, and acquisition pipelines pose a persistent challenge for computational pathology, hindering cross-batch generalization and limiting reliable deployment o... read more 
Machine Learning cs.CV

Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution

arXiv Feb 27, 2026
Diffusion-based Real-World Image Super-Resolution (Real-ISR) achieves impressive perceptual quality but suffers from high computational costs due to iterative sampling. While recent distillation approaches leveraging large-scale Text-to-Image (T2I) p... read more 
Computer Vision and Pattern Recognition

Enhancing Spatial Understanding in Image Generation via Reward Modeling

arXiv Feb 27, 2026
Recent progress in text-to-image generation has greatly advanced visual fidelity and creativity, but it has also imposed higher demands on prompt complexity-particularly in encoding intricate spatial relationships. In such cases, achieving satisfacto... read more 
Computer Vision and Pattern Recognition

MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy

arXiv Feb 27, 2026
Modern microscopy routinely produces gigapixel images that contain structures across multiple spatial scales, from fine cellular morphology to broader tissue organization. Many analysis tasks require combining these scales, yet most vision models ope... read more 
Computer Vision and Pattern Recognition cs.LG

Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics

arXiv Feb 27, 2026
Estimating density ratios between pairs of intractable data distributions is a core problem in probabilistic modeling, enabling principled comparisons of sample likelihoods under different data-generating processes across conditions and covariates. W... read more 
Machine Learning

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

arXiv Feb 27, 2026
Despite their capabilities, Multimodal Large Language Models (MLLMs) may produce plausible but erroneous outputs, hindering reliable deployment. Accurate uncertainty metrics could enable escalation of unreliable queries to human experts or larger mod... read more 
Artificial Intelligence cs.CL cs.CV cs.LG

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification

arXiv Feb 27, 2026
Despite advances in machine learning-based medical image classifiers, the safety and reliability of these systems remain major concerns in practical settings. Existing auditing approaches mainly rely on unimodal features or metadata-based subgroup an... read more 
Computer Vision and Pattern Recognition cs.LG
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