Artificial Intelligence Medical Compendium

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

Showing 56,921 to 56,930 of 227,153 articles

DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning

arXiv
Character image animation aims to synthesize high-fidelity videos by transferring motion from a driving sequence to a static reference image. Despite recent advancements, existing methods suffer from two fundamental challenges: (1) suboptimal motion ... read more 

From Global to Granular: Revealing IQA Model Performance via Correlation Surface

arXiv
Evaluation of Image Quality Assessment (IQA) models has long been dominated by global correlation metrics, such as Pearson Linear Correlation Coefficient (PLCC) and Spearman Rank-Order Correlation Coefficient (SRCC). While widely adopted, these metri... read more 

Temporal Sepsis Modeling: a Fully Interpretable Relational Way

arXiv
Sepsis remains one of the most complex and heterogeneous syndromes in intensive care, characterized by diverse physiological trajectories and variable responses to treatment. While deep learning models perform well in the early prediction of sepsis, ... read more 

FISMO: Fisher-Structured Momentum-Orthogonalized Optimizer

arXiv
Training large-scale neural networks requires solving nonconvex optimization where the choice of optimizer fundamentally determines both convergence behavior and computational efficiency. While adaptive methods like Adam have long dominated practice,... read more 

Synthetic-to-Real Domain Bridging for Single-View 3D Reconstruction of Ships for Maritime Monitoring

arXiv
Three-dimensional (3D) reconstruction of ships is an important part of maritime monitoring, allowing improved visualization, inspection, and decision-making in real-world monitoring environments. However, most state-ofthe-art 3D reconstruction method... read more 

A Unified XAI-LLM Approach for EndotrachealSuctioning Activity Recognition

arXiv
Endotracheal suctioning (ES) is an invasive yet essential clinical procedure that requires a high degree of skill to minimize patient risk - particularly in home care and educational settings, where consistent supervision may be limited. Despite its ... read more 

Constrained Meta Reinforcement Learning with Provable Test-Time Safety

arXiv
Meta reinforcement learning (RL) allows agents to leverage experience across a distribution of tasks on which the agent can train at will, enabling faster learning of optimal policies on new test tasks. Despite its success in improving sample complex... read more 

Blind Ultrasound Image Enhancement via Self-Supervised Physics-Guided Degradation Modeling

arXiv
Ultrasound (US) interpretation is hampered by multiplicative speckle, acquisition blur from the point-spread function (PSF), and scanner- and operator-dependent artifacts. Supervised enhancement methods assume access to clean targets or known degrada... read more 

Improving Classifier-Free Guidance of Flow Matching via Manifold Projection

arXiv
Classifier-free guidance (CFG) is a widely used technique for controllable generation in diffusion and flow-based models. Despite its empirical success, CFG relies on a heuristic linear extrapolation that is often sensitive to the guidance scale. In ... read more 

Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models

arXiv
Although diffusion-based zero-shot image restoration and enhancement methods have achieved great success, applying them to video restoration or enhancement will lead to severe temporal flickering. In this paper, we propose the first framework that ut... read more