Artificial Intelligence Medical Compendium

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

Showing 49,371 to 49,380 of 224,513 articles

NeRFscopy: Neural Radiance Fields for in-vivo Time-Varying Tissues from Endoscopy

arXiv Feb 17, 2026
Endoscopy is essential in medical imaging, used for diagnosis, prognosis and treatment. Developing a robust dynamic 3D reconstruction pipeline for endoscopic videos could enhance visualization, improve diagnostic accuracy, aid in treatment planning, ... read more 
Computer Vision and Pattern Recognition

Meteorological data and Sky Images meets Neural Models for Photovoltaic Power Forecasting

arXiv Feb 17, 2026
Due to the rise in the use of renewable energies as an alternative to traditional ones, and especially solar energy, there is increasing interest in studying how to address photovoltaic forecasting in the face of the challenge of variability in photo... read more 
Computer Vision and Pattern Recognition

Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformers

arXiv Feb 17, 2026
Whole-slide images (WSIs) from cancer patients contain rich information that can be used for medical diagnosis or to follow treatment progress. To automate their analysis, numerous deep learning methods based on convolutional neural networks and Visi... read more 
Computer Vision and Pattern Recognition

Task-Agnostic Continual Learning for Chest Radiograph Classification

arXiv Feb 17, 2026
Clinical deployment of chest radiograph classifiers requires models that can be updated as new datasets become available without retraining on previously ob- served data or degrading validated performance. We study, for the first time, a task-increme... read more 
Computer Vision and Pattern Recognition cs.AI

VideoSketcher: Video Models Prior Enable Versatile Sequential Sketch Generation

arXiv Feb 17, 2026
Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models treat sketches as static images, overlooking the temporal structure that underlies creative dr... read more 
Computer Vision and Pattern Recognition

EEG and EMG dataset for analyzing movement-related cortical potentials in hand gesture tasks.

Data in brief Feb 17, 2026
This dataset contains electroencephalography (EEG) and electromyography (EMG) recordings acquired during the execution of specific motor tasks aimed at eliciting movement-related cortical potentials (MRCP). The goal is to provide an accessible resour... read more 

A single CDs/Fe-MOF luminescent probe with dual-emission for the simultaneous detection of nitrite and copper (II) ions.

Food chemistry Feb 17, 2026
Nitrite (NO2-) and copper (Cu2+) ions are widespread environmental pollutants that threaten both ecosystem integrity and human health, yet their simultaneous on-site detection remains challenging. To address this, we developed a dual-emissive lumines... read more 

Artificial intelligence-driven triage and decision-making in trauma systems/settings.

Current opinion in anaesthesiology Feb 17, 2026
PURPOSE OF REVIEW: Trauma care demands rapid decision-making under uncertainty and time pressure, where maintaining situational awareness becomes challenging. Artificial intelligence offers potential to augment clinical judgment by processing complex... read more 

Identifying a fatty acid metabolic gene signature in diabetic cardiomyopathy through integrated bioinformatics and machine learning.

Biochemical and biophysical research communications Feb 17, 2026
BACKGROUND: Diabetic cardiomyopathy (DCM) is a major cardiovascular complication of diabetes mellitus, ultimately progressing to heart failure and increased mortality. Its pathogenesis involves multifactorial mechanisms, and the key causative genes r... read more 

Corrigendum to "Based on the umami-transformer machine learning model: Screening of umami peptides from ultrasound-assisted enzymatic hydrolysis of shiitake mushrooms and study on their flavor mechanism" [Food Res. Int. 228 (2026) 118379].

Food research international (Ottawa, Ont.) Feb 17, 2026
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