Artificial Intelligence Medical Compendium

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

Showing 32,171 to 32,180 of 220,797 articles

Uncertainty-Guided Attention and Entropy-Weighted Loss for Precise Plant Seedling Segmentation

arXiv Apr 12, 2026
Plant seedling segmentation supports automated phenotyping in precision agriculture. Standard segmentation models face difficulties due to intricate background images and fine structures in leaves. We introduce UGDA-Net (Uncertainty-Guided Dual Atten... read more 
Computer Vision and Pattern Recognition cs.LG

Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation

arXiv Apr 12, 2026
Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthorized animation of static images to create realistic deepfakes. While existing defenses effectively protect against static image manipulation, extending... read more 
Computer Vision and Pattern Recognition

Retinal Cyst Detection from Optical Coherence Tomography Images

arXiv Apr 12, 2026
Retinal Cysts are formed by leakage and accumulation of fluid in the retina due to the incompetence of retinal vasculature. These cystic spaces have significance in several ocular diseases such as age-related macular degeneration, diabetic macular ed... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.NE

TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection

arXiv Apr 12, 2026
Accurate estimation of cancer risk from longitudinal electronic health records (EHRs) could support earlier detection and improved care, but modeling such complex patient trajectories remains challenging. We present TrajOnco, a training-free, multi-a... read more 
Artificial Intelligence cs.MA

Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation

arXiv Apr 12, 2026
Video-based human-object interaction (HOI) understanding requires both detecting ongoing interactions and anticipating their future evolution. However, existing methods usually treat anticipation as a downstream forecasting task built on externally c... read more 
Computer Vision and Pattern Recognition cs.AI

NameBERT: Scaling Name-Based Nationality Classification with LLM-Augmented Open Academic Data

arXiv Apr 12, 2026
Inferring nationality from personal names is a critical capability for equity and bias monitoring, personalization, and a valuable tool in biomedical and sociological research. However, existing name-based nationality classifiers are typically traine... read more 
Computation and Language

Sense Less, Infer More: Agentic Multimodal Transformers for Edge Medical Intelligence

arXiv Apr 12, 2026
Edge-based multimodal medical monitoring requires models that balance diagnostic accuracy with severe energy constraints. Continuous acquisition of ECG, PPG, EMG, and IMU streams rapidly drains wearable batteries, often limiting operation to under 10... read more 
Emerging Technologies cs.LG

CIR: Lightweight Container Image for Cross-Platform Deployment

arXiv Apr 12, 2026
In modern cloud and heterogeneous distributed infrastructures, container images are widely used as the deployment unit for machine learning applications. An image bundles the application with its entire platform-specific execution environment and can... read more 
Distributed, Parallel, and Cluster Computing

Point2Pose: Occlusion-Recovering 6D Pose Tracking and 3D Reconstruction for Multiple Unknown Objects Via 2D Point Trackers

arXiv Apr 12, 2026
We present Point2Pose, a model-free method for causal 6D pose tracking of multiple rigid objects from monocular RGB-D video. Initialized only from sparse image points on the objects to be tracked, our approach tracks multiple unseen objects without r... read more 
Computer Vision and Pattern Recognition cs.RO

CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation

arXiv Apr 12, 2026
Large language models (LLMs) enable waveform-to-text ECG interpretation and interactive clinical questioning, yet most ECG-LLM systems still rely on weak signal-text alignment and retrieval without explicit physiological or causal structure. This lim... read more 
Machine Learning
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