Artificial Intelligence Medical Compendium

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

Showing 59,991 to 60,000 of 228,014 articles

MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution

arXiv Jan 20, 2026
Motivation: Developing high-performing bioinformatics models typically requires repeated cycles of hypothesis formulation, architectural redesign, and empirical validation, making progress slow, labor-intensive, and difficult to reproduce. Although r... read more 
Multiagent Systems cs.LG

Large-Scale Label Quality Assessment for Medical Segmentation via a Vision-Language Judge and Synthetic Data

arXiv Jan 20, 2026
Large-scale medical segmentation datasets often combine manual and pseudo-labels of uneven quality, which can compromise training and evaluation. Low-quality labels may hamper performance and make the model training less robust. To address this issue... read more 
Computer Vision and Pattern Recognition eess.IV

Vision-Based Natural Language Scene Understanding for Autonomous Driving: An Extended Dataset and a New Model for Traffic Scene Description Generation

arXiv Jan 20, 2026
Traffic scene understanding is essential for enabling autonomous vehicles to accurately perceive and interpret their environment, thereby ensuring safe navigation. This paper presents a novel framework that transforms a single frontal-view camera ima... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

VisTIRA: Closing the Image-Text Modality Gap in Visual Math Reasoning via Structured Tool Integration

arXiv Jan 20, 2026
Vision-language models (VLMs) lag behind text-only language models on mathematical reasoning when the same problems are presented as images rather than text. We empirically characterize this as a modality gap: the same question in text form yields ma... read more 
Artificial Intelligence cs.CL cs.LG

Real-Time Wildfire Localization on the NASA Autonomous Modular Sensor using Deep Learning

arXiv Jan 20, 2026
High-altitude, multi-spectral, aerial imagery is scarce and expensive to acquire, yet it is necessary for algorithmic advances and application of machine learning models to high-impact problems such as wildfire detection. We introduce a human-annotat... read more 
Computer Vision and Pattern Recognition cs.AI

XD-MAP: Cross-Modal Domain Adaptation using Semantic Parametric Mapping

arXiv Jan 20, 2026
Until open-world foundation models match the performance of specialized approaches, the effectiveness of deep learning models remains heavily dependent on dataset availability. Training data must align not only with the target object categories but a... read more 
Computer Vision and Pattern Recognition cs.AI eess.IV

PAS-Mamba: Phase-Amplitude-Spatial State Space Model for MRI Reconstruction

arXiv Jan 20, 2026
Joint feature modeling in both the spatial and frequency domains has become a mainstream approach in MRI reconstruction. However, existing methods generally treat the frequency domain as a whole, neglecting the differences in the information carried ... read more 
Computer Vision and Pattern Recognition

engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection

arXiv Jan 20, 2026
Omics data, such as transcriptomics, proteomics, and metabolomics, provide critical insights into disease mechanisms and clinical outcomes. However, their high dimensionality, small sample sizes, and intricate biological networks pose major challenge... read more 
Machine Learning q-bio.GN stat.ML

Associations between prenatal exposure to indoor air pollution and ambient particulate matter with infant growth.

Journal of environmental sciences (China) Jan 20, 2026
Despite growing concern, the developmental effects of prenatal exposure to indoor and ambient particulate pollution remain poorly characterized. This study examined their individual and joint associations with infant growth. Embedded in the PKUBC-T b... read more 

Enhancing urban river self-purification through riverbed substrates configuration: A nature-based solution for nutrient removal and restoration planning.

Journal of environmental sciences (China) Jan 20, 2026
Appropriate riverbed substrates, as nature-based engineering components, are critical for enhancing nutrient mitigation and ecosystem sustainability in urban rivers. However, their role in regulating hydrologically mediated nutrient fluxes and biofil... read more 
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