Artificial Intelligence Medical Compendium

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

Showing 62,581 to 62,590 of 230,507 articles

Evaluation of an Artificial Intelligence Defined Lung Nodule Malignancy Score in Incidental Pulmonary Nodules: The CREATE Study.

Mayo Clinic proceedings. Digital health Jan 19, 2026
OBJECTIVE: To evaluate the effectiveness of the artificial intelligence-based qXR lung nodule malignancy score (qXR-LNMS) in detecting high-risk incidental pulmonary nodules (IPNs) on chest X-rays (CXRs). PATIENTS AND METHODS: The CREATE (NCT05817110... read more 

Radiographic Data Segmentation as a Tool in Machine Learning and Deep Learning Artificial Intelligence Algorithms.

Dental clinics of North America Jan 19, 2026
This study reviews radiographic data segmentation as a cornerstone of machine learning (ML) and deep learning (DL) in dentistry. After outlining artificial intelligence (AI), ML, and DL concepts, it highlights convolutional neural networks-driven tas... read more 

Reorienting off-path Nudged Elastic Bands (RONEB) via Minimum Mode Following

arXiv Jan 19, 2026
Accurate determination of transition states remains central to understanding reaction kinetics. Double-ended methods like the Nudged Elastic Band (NEB) ensure relevant transition states and paths, but incur high computational costs and suffer stagnat... read more 
Chemical Physics cond-mat.mtrl-sci cs.LG physics.comp-ph

Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images

arXiv Jan 19, 2026
Deep learning for cancer histopathology training conflicts with privacy constraints in clinical settings. Federated Learning (FL) mitigates this by keeping data local; however, its performance depends on hyperparameter choices under non-independent a... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Near-Light Color Photometric Stereo for mono-Chromaticity non-lambertian surface

arXiv Jan 19, 2026
Color photometric stereo enables single-shot surface reconstruction, extending conventional photometric stereo that requires multiple images of a static scene under varying illumination to dynamic scenarios. However, most existing approaches assume i... read more 
Computer Vision and Pattern Recognition

Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification

arXiv Jan 19, 2026
Efficient brain tumor diagnosis is crucial for early treatment; however, it is challenging because of lesion variability and image complexity. We evaluated convolutional neural networks (CNNs) in a federated learning (FL) setting, comparing models tr... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Fusion-Restoration Image Processing Algorithm to Improve the High-Temperature Deformation Measurement

arXiv Jan 19, 2026
In the deformation measurement of high-temperature structures, image degradation caused by thermal radiation and random errors introduced by heat haze restrict the accuracy and effectiveness of deformation measurement. To suppress thermal radiation a... read more 
Computer Vision and Pattern Recognition

Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation

arXiv Jan 19, 2026
Infrared-visible image fusion aims to integrate infrared and visible information into a single fused image. Existing 2D fusion methods focus on fusing images from fixed camera viewpoints, neglecting a comprehensive understanding of complex scenarios,... read more 
Computer Vision and Pattern Recognition cs.CG

Resource-Conscious RL Algorithms for Deep Brain Stimulation

arXiv Jan 19, 2026
Deep Brain Stimulation (DBS) has proven to be a promising treatment of Parkinson's Disease (PD). DBS involves stimulating specific regions of the brain's Basal Ganglia (BG) using electric impulses to alleviate symptoms of PD such as tremors, rigidity... read more 
Machine Learning eess.SY

Trend-Adjusted Time Series Models with an Application to Gold Price Forecasting

arXiv Jan 19, 2026
Time series data play a critical role in various fields, including finance, healthcare, marketing, and engineering. A wide range of techniques (from classical statistical models to neural network-based approaches such as Long Short-Term Memory (LSTM)... read more 
Machine Learning
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