Artificial Intelligence Medical Compendium

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

Showing 52,531 to 52,540 of 225,341 articles

Back to Physics: Operator-Guided Generative Paths for SMS MRI Reconstruction

arXiv Feb 8, 2026
Simultaneous multi-slice (SMS) imaging with in-plane undersampling enables highly accelerated MRI but yields a strongly coupled inverse problem with deterministic inter-slice interference and missing k-space data. Most diffusion-based reconstructions... read more 
Computer Vision and Pattern Recognition

SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models

arXiv Feb 8, 2026
Chain-of-Thought reasoning is widely used to improve the interpretability of multimodal large language models (MLLMs), yet the faithfulness of the generated reasoning traces remains unclear. Prior work has mainly focused on perceptual hallucinations,... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

VFace: A Training-Free Approach for Diffusion-Based Video Face Swapping

arXiv Feb 8, 2026
We present a training-free, plug-and-play method, namely VFace, for high-quality face swapping in videos. It can be seamlessly integrated with image-based face swapping approaches built on diffusion models. First, we introduce a Frequency Spectrum At... read more 
Computer Vision and Pattern Recognition

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

arXiv Feb 8, 2026
Predictive world models that simulate future observations under explicit camera control are fundamental to interactive AI. Despite rapid advances, current systems lack spatial persistence: they fail to maintain stable scene structures over long traje... read more 
Computer Vision and Pattern Recognition

Recovering 3D Shapes from Ultra-Fast Motion-Blurred Images

arXiv Feb 8, 2026
We consider the problem of 3D shape recovery from ultra-fast motion-blurred images. While 3D reconstruction from static images has been extensively studied, recovering geometry from extreme motion-blurred images remains challenging. Such scenarios fr... read more 
Computer Vision and Pattern Recognition cs.GR

Thinking in Structures: Evaluating Spatial Intelligence through Reasoning on Constrained Manifolds

arXiv Feb 8, 2026
Spatial intelligence is crucial for vision--language models (VLMs) in the physical world, yet many benchmarks evaluate largely unconstrained scenes where models can exploit 2D shortcuts. We introduce SSI-Bench, a VQA benchmark for spatial reasoning o... read more 
Computer Vision and Pattern Recognition

WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning

arXiv Feb 8, 2026
Retrieving wrist radiographs with analogous fracture patterns is challenging because clinically important cues are subtle, highly localized and often obscured by overlapping anatomy or variable imaging views. Progress is further limited by the scarci... read more 
Computer Vision and Pattern Recognition

Research on a Camera Position Measurement Method based on a Parallel Perspective Error Transfer Model

arXiv Feb 8, 2026
Camera pose estimation from sparse correspondences is a fundamental problem in geometric computer vision and remains particularly challenging in near-field scenarios, where strong perspective effects and heterogeneous measurement noise can significan... read more 
Robotics cs.CV

Which private attributes do VLMs agree on and predict well?

arXiv Feb 8, 2026
Visual Language Models (VLMs) are often used for zero-shot detection of visual attributes in the image. We present a zero-shot evaluation of open-source VLMs for privacy-related attribute recognition. We identify the attributes for which VLMs exhibit... read more 
Computer Vision and Pattern Recognition

Attention-Based Deep Learning for Early Parkinson's Disease Detection with Tabular Biomedical Data

arXiv Feb 8, 2026
Early and accurate detection of Parkinson's disease (PD) remains a critical challenge in medical diagnostics due to the subtlety of early-stage symptoms and the complex, non-linear relationships inherent in biomedical data. Traditional machine learni... read more 
Machine Learning
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