Artificial Intelligence Medical Compendium

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

Showing 60,571 to 60,580 of 228,072 articles

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

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

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

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

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

Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-immunohistochemical Brightfield Histology Images

arXiv Jan 16, 2026
Separating the contributions of individual chromogenic stains in RGB histology whole slide images (WSIs) is essential for stain normalization, quantitative assessment of marker expression, and cell-level readouts in immunohistochemistry (IHC). Classi... read more 
Computer Vision and Pattern Recognition cs.LG

Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning

arXiv Jan 16, 2026
Composed Image Retrieval (CIR) enables image search by combining a reference image with modification text. Intrinsic noise in CIR triplets incurs intrinsic uncertainty and threatens the model's robustness. Probabilistic learning approaches have shown... read more 
Computer Vision and Pattern Recognition

Latent Space Inference via Paired Autoencoders

arXiv Jan 16, 2026
This work describes a novel data-driven latent space inference framework built on paired autoencoders to handle observational inconsistencies when solving inverse problems. Our approach uses two autoencoders, one for the parameter space and one for t... read more 
Machine Learning math.NA

Wetland mapping from sparse annotations with satellite image time series and temporal-aware segment anything model

arXiv Jan 16, 2026
Accurate wetland mapping is essential for ecosystem monitoring, yet dense pixel-level annotation is prohibitively expensive and practical applications usually rely on sparse point labels, under which existing deep learning models perform poorly, whil... read more 
Computer Vision and Pattern Recognition cs.AI

Topology-Guaranteed Image Segmentation: Enforcing Connectivity, Genus, and Width Constraints

arXiv Jan 16, 2026
Existing research highlights the crucial role of topological priors in image segmentation, particularly in preserving essential structures such as connectivity and genus. Accurately capturing these topological features often requires incorporating wi... read more 
Computer Vision and Pattern Recognition cs.AI
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