Artificial Intelligence Medical Compendium

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

Showing 60,731 to 60,740 of 228,072 articles

Enhancing Vision Language Models with Logic Reasoning for Situational Awareness

arXiv Jan 16, 2026
Vision-Language Models (VLMs) offer the ability to generate high-level, interpretable descriptions of complex activities from images and videos, making them valuable for situational awareness (SA) applications. In such settings, the focus is on ident... read more 
Computer Vision and Pattern Recognition cs.LO

FORESTLLM: Large Language Models Make Random Forest Great on Few-shot Tabular Learning

arXiv Jan 16, 2026
Tabular data high-stakes critical decision-making in domains such as finance, healthcare, and scientific discovery. Yet, learning effectively from tabular data in few-shot settings, where labeled examples are scarce, remains a fundamental challenge. ... read more 
Machine Learning

Context-Aware Semantic Segmentation via Stage-Wise Attention

arXiv Jan 16, 2026
Semantic ultra high resolution image (UHR) segmentation is essential in remote sensing applications such as aerial mapping and environmental monitoring. Transformer-based models struggle in this setting because memory grows quadratically with token c... read more 
Computer Vision and Pattern Recognition

Efficient On-Board Processing of Oblique UAV Video for Rapid Flood Extent Mapping

arXiv Jan 16, 2026
Effective disaster response relies on rapid disaster response, where oblique aerial video is the primary modality for initial scouting due to its ability to maximize spatial coverage and situational awareness in limited flight time. However, the on-b... read more 
Computer Vision and Pattern Recognition

Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning

arXiv Jan 16, 2026
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder with limited objective diagnostic tools, highlighting the urgent need for objective, biology-based diagnostic frameworks in precision psychiatry. We integrate ... read more 
Machine Learning

Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images

arXiv Jan 16, 2026
Multimodal image registration between diffusion MRI (dMRI) and T1-weighted (T1w) MRI images is a critical step for aligning diffusion-weighted imaging (DWI) data with structural anatomical space. Traditional registration methods often struggle to ens... read more 
Image and Video Processing cs.CV

Effects of Introducing Synaptic Scaling on Spiking Neural Network Learning

arXiv Jan 16, 2026
Spiking neural networks (SNNs) employing unsupervised learning methods inspired by neural plasticity are expected to be a new framework for artificial intelligence. In this study, we investigated the effect of multiple types of neural plasticity, suc... read more 
Neural and Evolutionary Computing cs.LG

Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification

arXiv Jan 16, 2026
We propose unsupervised multi-scenario (UMS) person re-identification (ReID) as a new task that expands ReID across diverse scenarios (cross-resolution, clothing change, etc.) within a single coherent framework. To tackle UMS-ReID, we introduce image... read more 
Computer Vision and Pattern Recognition

Bio-inspired fine-tuning for selective transfer learning in image classification

arXiv Jan 16, 2026
Deep learning has significantly advanced image analysis across diverse domains but often depends on large, annotated datasets for success. Transfer learning addresses this challenge by utilizing pre-trained models to tackle new tasks with limited lab... read more 
Computer Vision and Pattern Recognition

VidLeaks: Membership Inference Attacks Against Text-to-Video Models

arXiv Jan 16, 2026
The proliferation of powerful Text-to-Video (T2V) models, trained on massive web-scale datasets, raises urgent concerns about copyright and privacy violations. Membership inference attacks (MIAs) provide a principled tool for auditing such risks, yet... read more 
Cryptography and Security cs.CV
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