Artificial Intelligence Medical Compendium

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

Showing 54,851 to 54,860 of 226,183 articles

Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot.

European heart journal. Digital health Feb 2, 2026
AIMS: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repaired tetralogy of Fallot (TOF), but access to CMR is uneven, and compliance is poor. We developed a 12-lead electrocardiogram (ECG) artificial intellig... read more 

Machine Learning-based Radiomic Model for Early Diagnosis of Male Urethral Injury in Pelvic Fracture Patients.

European urology open science Feb 2, 2026
BACKGROUND AND OBJECTIVE: Pelvic fracture urethral injury (PFUI) is serious and requires prompt diagnosis. Traditional diagnostic methods, which rely on clinical evaluation and invasive imaging, are subjective and can cause delays. This study aims to... read more 

MagicFuse: Single Image Fusion for Visual and Semantic Reinforcement

arXiv Feb 2, 2026
This paper focuses on a highly practical scenario: how to continue benefiting from the advantages of multi-modal image fusion under harsh conditions when only visible imaging sensors are available. To achieve this goal, we propose a novel concept of ... read more 
Computer Vision and Pattern Recognition

GDPR-Compliant Person Recognition in Industrial Environments Using MEMS-LiDAR and Hybrid Data

arXiv Feb 2, 2026
The reliable detection of unauthorized individuals in safety-critical industrial indoor spaces is crucial to avoid plant shutdowns, property damage, and personal hazards. Conventional vision-based methods that use deep-learning approaches for person ... read more 
Computer Vision and Pattern Recognition

DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics

arXiv Feb 2, 2026
Data-independent acquisition mass spectrometry (DIA-MS) has established itself as a cornerstone of proteomic profiling and large-scale systems biology, offering unparalleled depth and reproducibility. Current DIA analysis frameworks, however, require... read more 
Machine Learning cs.AI q-bio.QM

Spatio-Temporal Transformers for Long-Term NDVI Forecasting

arXiv Feb 2, 2026
Long-term satellite image time series (SITS) analysis in heterogeneous landscapes faces significant challenges, particularly in Mediterranean regions where complex spatial patterns, seasonal variations, and multi-decade environmental changes interact... read more 
Computer Vision and Pattern Recognition cs.LG

FlowBypass: Rectified Flow Trajectory Bypass for Training-Free Image Editing

arXiv Feb 2, 2026
Training-free image editing has attracted increasing attention for its efficiency and independence from training data. However, existing approaches predominantly rely on inversion-reconstruction trajectories, which impose an inherent trade-off: longe... read more 
Computer Vision and Pattern Recognition

LDRNet: Large Deformation Registration Model for Chest CT Registration

arXiv Feb 2, 2026
Most of the deep learning based medical image registration algorithms focus on brain image registration tasks.Compared with brain registration, the chest CT registration has larger deformation, more complex background and region over-lap. In this pap... read more 
Computer Vision and Pattern Recognition

Efficient Cross-Country Data Acquisition Strategy for ADAS via Street-View Imagery

arXiv Feb 2, 2026
Deploying ADAS and ADS across countries remains challenging due to differences in legislation, traffic infrastructure, and visual conventions, which introduce domain shifts that degrade perception performance. Traditional cross-country data collectio... read more 
Computer Vision and Pattern Recognition

DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis

arXiv Feb 2, 2026
Recently, data-centric AI methodology has been a dominant paradigm in single-cell transcriptomics analysis, which treats data representation rather than model complexity as the fundamental bottleneck. In the review of current studies, earlier sequenc... read more 
Machine Learning cs.AI q-bio.GN
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