Artificial Intelligence Medical Compendium

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

Showing 58,241 to 58,250 of 227,634 articles

Learning Sewing Patterns via Latent Flow Matching of Implicit Fields

arXiv Jan 25, 2026
Sewing patterns define the structural foundation of garments and are essential for applications such as fashion design, fabrication, and physical simulation. Despite progress in automated pattern generation, accurately modeling sewing patterns remain... read more 
Computer Vision and Pattern Recognition cs.GR

MV-S2V: Multi-View Subject-Consistent Video Generation

arXiv Jan 25, 2026
Existing Subject-to-Video Generation (S2V) methods have achieved high-fidelity and subject-consistent video generation, yet remain constrained to single-view subject references. This limitation renders the S2V task reducible to an S2I + I2V pipeline,... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation

arXiv Jan 25, 2026
Real-world perception and interaction are inherently multimodal, encompassing not only language but also vision and speech, which motivates the development of "Omni" MLLMs that support both multimodal inputs and multimodal outputs. While a sequence o... read more 
Machine Learning cs.AI cs.CL

HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis

arXiv Jan 25, 2026
Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urgent need for intelligent and data-driven diagnostic tools. Traditional predictive models often struggle to generalize across heterogeneous datasets an... read more 
Artificial Intelligence cs.LG

Agreement-Driven Multi-View 3D Reconstruction for Live Cattle Weight Estimation

arXiv Jan 25, 2026
Accurate cattle live weight estimation is vital for livestock management, welfare, and productivity. Traditional methods, such as manual weighing using a walk-over weighing system or proximate measurements using body condition scoring, involve manual... read more 
Computer Vision and Pattern Recognition

Robust Computational Extraction of Non-Enhancing Hypercellular Tumor Regions from Clinical Imaging Data

arXiv Jan 25, 2026
Accurate identification of non-enhancing hypercellular (NEH) tumor regions is an unmet need in neuro-oncological imaging, with significant implications for patient management and treatment planning. We present a robust computational framework that ge... read more 
Machine Learning

ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning

arXiv Jan 25, 2026
Large Vision-Language Models (LVLMs) incur high computational costs due to significant redundancy in their visual tokens. To effectively reduce this cost, researchers have proposed various visual token pruning methods. However, existing methods are g... read more 
Computer Vision and Pattern Recognition

RAICL: Retrieval-Augmented In-Context Learning for Vision-Language-Model Based EEG Seizure Detection

arXiv Jan 25, 2026
Electroencephalogram (EEG) decoding is a critical component of medical diagnostics, rehabilitation engineering, and brain-computer interfaces. However, contemporary decoding methodologies remain heavily dependent on task-specific datasets to train sp... read more 
Human-Computer Interaction cs.AI cs.LG

SynMind: Reducing Semantic Hallucination in fMRI-Based Image Reconstruction

arXiv Jan 25, 2026
Recent advances in fMRI-based image reconstruction have achieved remarkable photo-realistic fidelity. Yet, a persistent limitation remains: while reconstructed images often appear naturalistic and holistically similar to the target stimuli, they freq... read more 
Computer Vision and Pattern Recognition

Domain Generalization with Quantum Enhancement for Medical Image Classification: A Lightweight Approach for Cross-Center Deployment

arXiv Jan 25, 2026
Medical image artificial intelligence models often achieve strong performance in single-center or single-device settings, yet their effectiveness frequently deteriorates in real-world cross-center deployment due to domain shift, limiting clinical gen... read more 
Computer Vision and Pattern Recognition
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