Artificial Intelligence Medical Compendium

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

Showing 51,781 to 51,790 of 225,182 articles

DMSCA: dynamic multi-scale channel-spatial attention for enhanced feature representation in convolutional neural networks.

Scientific reports Feb 10, 2026
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AI based optimization of injection pressure for hydrogen and spirogyra biodiesel dual fuel engine to enhance combustion performance and emission characteristics.

Scientific reports Feb 10, 2026
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Alzheimer's disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data.

Scientific reports Feb 10, 2026
Alzheimer's disease (AD), a type of neurodegenerative disorder, has seen an increase in cases over the past decade, necessitating the construction of a comprehensive early detection method. Existing methods are typically invasive and costly, so our r... read more 

HBID24K: A New Benchmark Dataset for Vulnerable Houbara Bustard and Intruder Detection in Wildlife Monitoring.

Scientific data Feb 10, 2026
Monitoring vulnerable Houbara bustards, birds of both ecological and cultural significance, and detecting intruders that can pose a threat to their nests, is critical for effective conservation of these iconic species. Deep learning-based object dete... read more 

A Time-Synchronized Multi-Sensor drone dataset acquired from multiple radars and RF receiver.

Scientific data Feb 10, 2026
The widespread use of drones across industries has raised concerns about security threats. To provide a publicly available data set for developing robust drone detection and classification systems, we present a multi-sensor dataset composed of time-s... read more 

Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation.

Scientific data Feb 10, 2026
Age-related macular degeneration (AMD) and diabetic macular edema (DME) are vision-threatening pathologies for which optical coherence tomography (OCT) provides high-resolution three-dimensional imaging, facilitating comprehensive diagnostic evaluati... read more 

Interpretable and generative deep learning models explicate phase separating intrinsically disordered motifs.

Nature communications Feb 10, 2026
Intrinsically disordered regions (IDRs) in proteins drive phase separation (PS) to form biomolecular condensates, which organize cellular matter. While IDRs are recognized as critical drivers of PS, the systematic identification of sequence motifs go... read more 

Machine learning based real-time assessment of fabrication deviation induced mechanical performance variations in stretchable silicon arrays.

Microsystems & nanoengineering Feb 10, 2026
Microelectromechanical system fabrication represents a promising approach for silicon-based flexible electronics, leveraging its scalability and miniaturization merits. However, fabrication-induced geometric deviations stretchable microstructures can... read more 

Characterising 'Spree Bar': an examination of the popularity, marketing and composition of a vaping device with a nicotine analogue across multiple data streams.

Tobacco control Feb 10, 2026
BACKGROUND: Spree Bar, a line of e-cigarette devices introduced in 2023, leverages 6-methylnicotine (6-MN) as its primary ingredient and is available in nine flavours, each represented by artificial intelligence (AI)-generated avatars. AIMS: To chara... read more 

A Comparative Evaluation of 7T MRI for Epilepsy with Deep-Learning-Based Image Reconstruction and Dynamic Parallel Transmission.

AJNR. American journal of neuroradiology Feb 10, 2026
OBJECTIVES: 7T MRI enhances lesion detection in epilepsy but is limited by radiofrequency transmission field (B1+) inhomogeneity and long scan times. Recent advancements in dynamic parallel transmission and deep-learning-based reconstructions offer p... read more 
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