Artificial Intelligence Medical Compendium

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

Showing 37,411 to 37,420 of 223,469 articles

MolmoPoint: Better Pointing for VLMs with Grounding Tokens

arXiv Mar 30, 2026
Grounding has become a fundamental capability of vision-language models (VLMs). Most existing VLMs point by generating coordinates as part of their text output, which requires learning a complicated coordinate system and results in a high token count... read more 
Computer Vision and Pattern Recognition cs.AI

LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization

arXiv Mar 30, 2026
Generating coherent and communicative visual sequences, such as image sequences and videos, remains a significant challenge for current multimodal systems. Despite advances in visual quality and the integration of world knowledge, existing models sti... read more 
Computer Vision and Pattern Recognition cs.MA

GEMS: Agent-Native Multimodal Generation with Memory and Skills

arXiv Mar 30, 2026
Recent multimodal generation models have achieved remarkable progress on general-purpose generation tasks, yet continue to struggle with complex instructions and specialized downstream tasks. Inspired by the success of advanced agent frameworks such ... read more 
Computer Vision and Pattern Recognition

RAWIC: Bit-Depth Adaptive Lossless Raw Image Compression

arXiv Mar 30, 2026
Raw images preserve linear sensor measurements and high bit-depth information crucial for advanced vision tasks and photography applications, yet their storage remains challenging due to large file sizes, varying bit depths, and sensor-dependent char... read more 
Computer Vision and Pattern Recognition

Contour-Guided Query-Based Feature Fusion for Boundary-Aware and Generalizable Cardiac Ultrasound Segmentation

arXiv Mar 30, 2026
Accurate cardiac ultrasound segmentation is essential for reliable assessment of ventricular function in intelligent healthcare systems. However, echocardiographic images are challenging due to low contrast, speckle noise, irregular boundaries, and d... read more 
Computer Vision and Pattern Recognition

Graph Vector Field: A Unified Framework for Multimodal Health Risk Assessment from Heterogeneous Wearable and Environmental Data Streams

arXiv Mar 30, 2026
Digital health research has advanced dynamic graph-based disease models, topological learning on simplicial complexes, and multimodal mixture-of-experts architectures, but these strands remain largely disconnected. We propose Graph Vector Field (GVF)... read more 
Machine Learning

MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding

arXiv Mar 30, 2026
Medical visual grounding serves as a crucial foundation for fine-grained multimodal reasoning and interpretable clinical decision support. Despite recent advances in reinforcement learning (RL) for grounding tasks, existing approaches such as Group R... read more 
Computer Vision and Pattern Recognition

MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios

arXiv Mar 30, 2026
We introduce Multilingual Document Parsing Benchmark, the first benchmark for multilingual digital and photographed document parsing. Document parsing has made remarkable strides, yet almost exclusively on clean, digital, well-formatted pages in a ha... read more 
Computer Vision and Pattern Recognition cs.AI

Robust Remote Sensing Image-Text Retrieval with Noisy Correspondence

arXiv Mar 30, 2026
As a pivotal task that bridges remote visual and linguistic understanding, Remote Sensing Image-Text Retrieval (RSITR) has attracted considerable research interest in recent years. However, almost all RSITR methods implicitly assume that image-text p... read more 
Computer Vision and Pattern Recognition

ObjectMorpher: 3D-Aware Image Editing via Deformable 3DGS Models

arXiv Mar 30, 2026
Achieving precise, object-level control in image editing remains challenging: 2D methods lack 3D awareness and often yield ambiguous or implausible results, while existing 3D-aware approaches rely on heavy optimization or incomplete monocular reconst... read more 
Computer Vision and Pattern Recognition
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