Artificial Intelligence Medical Compendium

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

Showing 29,131 to 29,140 of 219,647 articles

Development of machine learning and nomogram models to predict lung metastasis and prognosticate survival in breast cancer.

Discover oncology Apr 20, 2026
PURPOSE: Lung metastasis in breast cancer (BCLM) is a critical determinant of poor prognosis, occurring in approximately 30-50% of advanced cases and associated with significantly reduced median survival. This study aimed to develop machine learning ... read more 

A Graph Attention Network-Based Multimodal Auxiliary Intelligent Grading Model for Uterine Prolapse Severity.

International urogynecology journal Apr 20, 2026
INTRODUCTION AND HYPOTHESIS: Uterine prolapse affects women's quality of life. Traditional diagnosis relies on subjective experience with limited accuracy (ACC). Fusing multimodal data (clinical features of uterine prolapse and pelvic floor magnetic ... read more 

AI-Driven Multi-parametric MS Lesion Analysis from T2-FLAIR Imaging: a Clinical Decision Support Framework for Neuroradiology.

Journal of imaging informatics in medicine Apr 20, 2026
Artificial intelligence (AI) is transforming neuroradiological practice, yet multiple sclerosis (MS) diagnosis remains challenged by qualitative MRI assessment with significant inter-observer variability. While advanced AI-based quantitative methods ... read more 

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography.

Journal of imaging informatics in medicine Apr 20, 2026
Traditional radiology education is constrained by a restricted apprenticeship model and a scarcity of datasets structured for building artificial intelligence (AI)-based radiology education systems. To address this problem, we developed a novel end-t... read more 

DisenKGE-DDI: A Knowledge Graph Embedding Framework Based on Disentangled Graph Attention Networks for Drug-Drug Interaction Prediction.

Interdisciplinary sciences, computational life sciences Apr 20, 2026
Combination therapy is an essential strategy for treating complex diseases. However, unintended drug-drug interactions (DDIs) can compromise therapeutic efficacy or even cause severe adverse reactions, posing significant challenges to clinical safety... read more 

Generative approaches to kinetic parameter inference in metabolic networks via latent space exploration.

Nature communications Apr 20, 2026
Dynamic (kinetic) models track time-varying metabolite concentrations, fluxes, and enzyme levels, quantifying responses to genetic and environmental perturbations. Yet building these models at scale is hindered by scarce enzyme kinetic parameters. Ge... read more 

Extraction of metadata from solar disk H-alpha observations at Sacramento Peak Observatory.

Scientific data Apr 20, 2026
We present metadata (date and time of observations) extracted from the digitized (scanned) photographic images of solar disk observations in neutral hydrogen Hα spectral line made at the U.S. National Solar Observatory at Sacramento Peak during 1966-... read more 

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm.

Scientific reports Apr 20, 2026
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High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach.

Scientific reports Apr 20, 2026
Gastrointestinal abnormalities are widespread worldwide and pose a significant health challenge. However, their mortality rate can be significantly reduced when they are detected early. Endoscopy is one of the key techniques used to diagnose problems... read more 

Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model.

Scientific reports Apr 20, 2026
This research presents a robust real-time driver drowsiness detection system employing deep learning, attention mechanisms, and explainable AI (XAI) techniques to address this critical safety concern. The system integrates a fine-tuned InceptionV3 ba... read more 
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