Artificial Intelligence Medical Compendium

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

Showing 58,981 to 58,990 of 227,876 articles

EVolSplat4D: Efficient Volume-based Gaussian Splatting for 4D Urban Scene Synthesis

arXiv Jan 22, 2026
Novel view synthesis (NVS) of static and dynamic urban scenes is essential for autonomous driving simulation, yet existing methods often struggle to balance reconstruction time with quality. While state-of-the-art neural radiance fields and 3D Gaussi... read more 
Computer Vision and Pattern Recognition

Reconstructing Patched or Partial Holograms to allow for Whole Slide Imaging with a Self-Referencing Holographic Microscope

arXiv Jan 22, 2026
The last decade has seen significant advances in computer-aided diagnostics for cytological screening, mainly through the improvement and integration of scanning techniques such as whole slide imaging (WSI) and the combination with deep learning. Sim... read more 
Signal Processing q-bio.QM

HyperAlign: Hypernetwork for Efficient Test-Time Alignment of Diffusion Models

arXiv Jan 22, 2026
Diffusion models achieve state-of-the-art performance but often fail to generate outputs that align with human preferences and intentions, resulting in images with poor aesthetic quality and semantic inconsistencies. Existing alignment methods presen... read more 
Computer Vision and Pattern Recognition

Predicting Healthcare System Visitation Flow by Integrating Hospital Attributes and Population Socioeconomics with Human Mobility Data

arXiv Jan 22, 2026
Healthcare visitation patterns are influenced by a complex interplay of hospital attributes, population socioeconomics, and spatial factors. However, existing research often adopts a fragmented approach, examining these determinants in isolation. Thi... read more 
Machine Learning cs.SI

PhysicsMind: Sim and Real Mechanics Benchmarking for Physical Reasoning and Prediction in Foundational VLMs and World Models

arXiv Jan 22, 2026
Modern foundational Multimodal Large Language Models (MLLMs) and video world models have advanced significantly in mathematical, common-sense, and visual reasoning, but their grasp of the underlying physics remains underexplored. Existing benchmarks ... read more 
Computer Vision and Pattern Recognition cs.AI

Keyframe-Based Feed-Forward Visual Odometry

arXiv Jan 22, 2026
The emergence of visual foundation models has revolutionized visual odometry~(VO) and SLAM, enabling pose estimation and dense reconstruction within a single feed-forward network. However, unlike traditional pipelines that leverage keyframe methods t... read more 
Computer Vision and Pattern Recognition cs.RO

PAINT: Pathology-Aware Integrated Next-Scale Transformation for Virtual Immunohistochemistry

arXiv Jan 22, 2026
Virtual immunohistochemistry (IHC) aims to computationally synthesize molecular staining patterns from routine Hematoxylin and Eosin (H\&E) images, offering a cost-effective and tissue-efficient alternative to traditional physical staining. However, ... read more 
Computer Vision and Pattern Recognition

ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation

arXiv Jan 22, 2026
Widely adopted medical image segmentation methods, although efficient, are primarily deterministic and remain poorly amenable to natural language prompts. Thus, they lack the capability to estimate multiple proposals, human interaction, and cross-mod... read more 
Computer Vision and Pattern Recognition

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation

arXiv Jan 22, 2026
Deep learning has substantially advanced medical image segmentation, yet achieving robust generalization across diverse imaging modalities and anatomical structures remains a major challenge. A key contributor to this limitation lies in how existing ... read more 
Image and Video Processing cs.CV

DTP: A Simple yet Effective Distracting Token Pruning Framework for Vision-Language Action Models

arXiv Jan 22, 2026
Vision-Language Action (VLA) models have shown remarkable progress in robotic manipulation by leveraging the powerful perception abilities of Vision-Language Models (VLMs) to understand environments and directly output actions. However, by default, V... read more 
Computer Vision and Pattern Recognition cs.RO
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