Artificial Intelligence Medical Compendium

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

Showing 38,721 to 38,730 of 223,469 articles

LightSplat: Fast and Memory-Efficient Open-Vocabulary 3D Scene Understanding in Five Seconds

arXiv Mar 25, 2026
Open-vocabulary 3D scene understanding enables users to segment novel objects in complex 3D environments through natural language. However, existing approaches remain slow, memory-intensive, and overly complex due to iterative optimization and dense ... read more 
Computer Vision and Pattern Recognition

CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare

arXiv Mar 25, 2026
Multimodal agentic pipelines are transforming human-computer interaction by enabling efficient and accessible automation of complex, real-world tasks. However, recent efforts have focused on short-horizon or general-purpose applications (e.g., mobile... read more 
Computer Vision and Pattern Recognition

Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic

arXiv Mar 25, 2026
Capturing dynamic spatiotemporal neural activity is essential for understanding large-scale brain mechanisms. Functional magnetic resonance imaging (fMRI) provides high-resolution cortical representations that form a strong basis for characterizing f... read more 
Image and Video Processing cs.CV q-bio.NC

Unlocking Few-Shot Capabilities in LVLMs via Prompt Conditioning and Head Selection

arXiv Mar 25, 2026
Current Large Vision Language Models (LVLMs) excel at many zero-shot tasks like image captioning, visual question answering and OCR. However, these same models suffer from poor performance at image classification tasks, underperforming against CLIP-b... read more 
Computer Vision and Pattern Recognition

RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution

arXiv Mar 25, 2026
Recent advances in generative super-resolution (SR) have greatly improved visual realism, yet existing evaluation and optimization frameworks remain misaligned with human perception. Full-Reference and No-Reference metrics often fail to reflect perce... read more 
Computer Vision and Pattern Recognition

Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage

arXiv Mar 25, 2026
Deep learning models for time series imputation are now essential in fields such as healthcare, the Internet of Things (IoT), and finance. However, their deployment raises critical privacy concerns. Beyond the well-known issue of unintended memorizat... read more 
Machine Learning cs.AI

RVLM: Recursive Vision-Language Models with Adaptive Depth

arXiv Mar 25, 2026
Medical AI systems face two fundamental limitations. First, conventional vision-language models (VLMs) perform single-pass inference, yielding black-box predictions that cannot be audited or explained in clinical terms. Second, iterative reasoning sy... read more 
Computer Vision and Pattern Recognition

InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment

arXiv Mar 25, 2026
Existing real-world super-resolution (RSR) methods based on generative priors have achieved remarkable progress in producing high-quality and globally consistent reconstructions. However, they often struggle to recover fine-grained details of diverse... read more 
Computer Vision and Pattern Recognition

ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors

arXiv Mar 25, 2026
While diffusion models excel at generating images with conventional dimensions, pushing them to synthesize ultra-high-resolution imagery at extreme aspect ratios (EAR) often triggers catastrophic structural failures, such as object repetition and spa... read more 
Computer Vision and Pattern Recognition

ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors

arXiv Mar 25, 2026
While diffusion models excel at generating images with conventional dimensions, pushing them to synthesize ultra-high-resolution imagery at extreme aspect ratios (EAR) often triggers catastrophic structural failures, such as object repetition and spa... read more 
Computer Vision and Pattern Recognition
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