Artificial Intelligence Medical Compendium

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

Showing 10,071 to 10,080 of 208,614 articles

Artificial intelligence for urodynamic studies: systematic review of methods, performance, and clinical applications.

BMC medical informatics and decision making May 25, 2026
BACKGROUND AND OBJECTIVE: Interpretation of urodynamic studies (UDS) is essential for the assessment of lower urinary tract dysfunction but remains resource-intensive and highly operator-dependent. Artificial intelligence (AI) has increasingly been a... read more 

Hallmarks of epithelial-mesenchymal plasticity in cancer.

Molecular cancer May 25, 2026
Cancer stem cells (CSCs) drive tumour initiation, progression, metastasis, and therapy resistance through their remarkable plasticity, enabling dynamic transitions between stem-like and differentiated states. A pivotal mechanism underlying this plast... read more 

Development of a deep-learning model for classification of intensivists' extubation decisions using ventilator graphic monitor images: a prospective observational study.

Journal of intensive care May 25, 2026
BACKGROUND: Timely extubation requires advanced expertise and extensive clinical experience; however, intensive care specialists are scarce globally, and interpreting ventilator graphic monitor waveforms can be challenging for less experienced health... read more 

DNA demethylation of ANXA4 is associated with atrial fibrillation risk through myeloid immune mechanisms: evidence from Mendelian randomization and multi-omics analyses.

Clinical epigenetics May 25, 2026
BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia affecting millions of patients globally. While epigenetic modifications play a significant role in cardiovascular diseases, their contribution to AF remains incompletely understood. Annexin ... read more 

Predicting response to neoadjuvant chemotherapy combined with immunotherapy in gastric cancer based on habitat imaging and peritumoral radiomics: a two-center study.

Journal of translational medicine May 25, 2026
BACKGROUND: Predicting pathological response to neoadjuvant chemotherapy combined with immunotherapy (NACI) in locally advanced gastric cancer (LAGC) remains challenging. This study aimed to develop a non-invasive predictive model by integrating intr... read more 

TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction

arXiv May 25, 2026
Sparse-view 3D reconstruction is increasingly addressed with feed-forward splatting networks that predict explicit primitives directly from images. Yet most existing methods remain centered on Gaussian primitives and expose surfaces only indirectly: ... read more 
Computer Vision and Pattern Recognition

Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation

arXiv May 25, 2026
Subject-driven image generation aims to synthesize new images that preserve the identity of the given subject while following textual instructions. Existing approaches often encode text and reference images separately. This limits cross-modal reasoni... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR cs.LG cs.MM

Helix4D: Complex 4D Mesh Generation

arXiv May 25, 2026
Current video-to-4D methods struggle with complex topology changes, transparent materials, thin structures, and inner surfaces. We present Helix4D, a dynamic mesh generation framework by inheriting the expressive representation of Trellis2, adapting ... read more 
Computer Vision and Pattern Recognition

Reinforcing Few-step Generators via Reward-Tilted Distribution Matching

arXiv May 25, 2026
Recent advances in few-step diffusion distillation have enabled efficient image generation, yet aligning these models with human preferences remains challenging. We propose Reward-Tilted Distribution Matching Distillation (RTDMD), a two-stage framewo... read more 
Computer Vision and Pattern Recognition

Global Structure-from-Motion Meets Feedforward Reconstruction

arXiv May 25, 2026
Structure-from-Motion -- the process of simultaneously estimating camera poses and 3D scene structure from a collection of images -- remains a central challenge in computer vision, with many open problems yet to be solved. Recent advances in feedforw... read more 
Computer Vision and Pattern Recognition
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