Artificial Intelligence Medical Compendium

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

Showing 781 to 790 of 200,021 articles

Development of autoencoder-guided attention-LSTM models for predicting nocturnal hypoglycemia risk in Type 1 Diabetes.

IEEE transactions on bio-medical engineering Jun 1, 2026
OBJECTIVE: Nocturnal hypoglycemia (NH) is a major, often undetected risk for individuals with Type 1 Diabetes (T1DM). Current prediction models lack sufficient lead time for proactive, pre-sleep interventions. This study develops a novel, interpretab... read more 

FreeTune4D: Anatomy-Aware 4D-MRI Motion Reconstruction Benchmark and Free Fine-Tuning Framework.

IEEE journal of biomedical and health informatics Jun 1, 2026
Deep learning and prior-image-guided cross modality motion reconstruction methods have recently en abled faster acquisition time and lower artifacts in abdominal four-dimensional magnetic resonance imaging (4D MRI). However, the limited availability ... read more 

3D object detection for vehicle-mounted LiDAR based on deep learning and euclidean clustering algorithm.

PloS one Jun 1, 2026
Object Detection (OD) stands as a fundamental task in the area of autonomous driving environment perception. This study introduces a 3D OD method grounded in deep learning and an improved Euclidean clustering algorithm, aiming to improve the accuracy... read more 

Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning-Based Two-Compartment Predictive Model: Development and Validation Study.

JMIR AI Jun 1, 2026
BACKGROUND: Vancomycin is a widely used antibiotic that requires therapeutic drug monitoring (TDM) for optimized individual dosage. A deep learning-based model, pharmacokinetic recurrent neural network-1 compartment model (PKRNN-1CM), has shown the a... read more 

Hospitalists Are Already Using AI-Why Implementation Will Determine Its Impact.

Journal of medical Internet research Jun 1, 2026
The adoption of artificial intelligence (AI) into clinical practice is accelerating, outpacing the development of organizational guidance, training, and governance. A recent study indicated that two-thirds of hospitalists are using AI, particularly l... read more 

Gallstone disease classification using SLOA-optimized CatBoost classifier with explainable AI.

PloS one Jun 1, 2026
Gallstones are small stones that form in the gallbladder. Around 80% of individuals with gallstones do not present any symptoms. Despite the high accuracy of image-based machine learning (ML) models in the detection of gallstones, less research has b... read more 

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning.

PloS one Jun 1, 2026
BACKGROUND: Esophageal cancer ranks among the most lethal malignancies worldwide, particularly prevalent in the Guangdong-Chaoshan region of China due to regional dietary habits. Cytokeratin 19 (CK19) is an important immunohistochemical marker reflec... read more 

Generative adversarial networks for enhanced performance prediction of square CFST members under axial tension.

PloS one Jun 1, 2026
Taking square concrete-filled steel tubular (CFST) members under axial tension as the research object, a three-dimensional mesoscopic finite element model was established based on the experimental results of six specimens. Ten parametric models were ... read more 

Evolving graph attention networks for dynamic link prediction.

PloS one Jun 1, 2026
Graph neural networks (GNNs), which learn node representations via aggregating their neighbors, have shown superior performance and become the de facto efficient toolkit for analyzing and learning from data with structured properties. However, most e... read more 

Human versus AI in audiological practice: A comparative evaluation of ChatGPT and physician treatment decisions in idiopathic sudden sensorineural hearing loss.

PloS one Jun 1, 2026
PURPOSE: Artificial Intelligence (AI) is increasingly being applied in the field of audiology, demonstrating potential to support screening, diagnosis, and rehabilitation in auditory and vestibular disorders. However, its effectiveness in guiding com... read more 
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