Artificial Intelligence Medical Compendium

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

Showing 16,561 to 16,570 of 213,568 articles

Deepfake face detection using hybrid bag-of-visual-words and multi-CNN feature fusion.

Scientific reports May 19, 2026
Recent advances in generative modeling have enabled the creation of highly realistic deepfake facial images, posing significant risks to digital security, media integrity, and public trust. Although deep learning-based detection methods have achieved... read more 

AI-driven quality classification of concrete after high-temperature exposure: a hybrid framework for structural integrity assessment.

Scientific reports May 19, 2026
Accurately assessing the residual performance of fire-damaged concrete is crucial for structural safety but challenging due to non-linear degradation. Traditional methods often suffer from data scarcity and lack objective quality criteria, creating a... read more 

Enhanced hydrogen adsorption on boron nickel gold modified Si60 nanocluster via DFT and machine learning analysis.

Scientific reports May 19, 2026
In this study, we investigated the catalytic potential of silicon-based nanoclusters, specifically Si60, for hydrogen evolution reactions (HER), focusing on enhancements via substitutional doping with nickel (Ni) and boron (B), where boron and nickel... read more 

An explainable multimodal temporal deep learning framework for intrusion detection (EMT-IDNet) in IoT environments.

Scientific reports May 19, 2026
The high rate of Internet of Things (IoT) ecosystem development presents a significant security problem because of the heterogeneity of devices, dynamic network behaviour, and the lack of built-in security features. Traditional intrusion detection sy... read more 

Proto-memformer: deformable memory transformer for Parkinson's MRI classification.

Scientific reports May 19, 2026
This paper proposes a Prototype-Guided Deformable Memory Transformer (Proto-MemFormer) model for Parkinson's Disease (PD) MRI classification. In the encoding stage, the model integrates a prototype-guided memory mechanism with a deformable attention ... read more 

Modeling context-dependent RNA splicing by deep learning.

Nature computational science May 19, 2026
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HELIX: a scalable model for predicting context-dependent regulation of RNA splicing and isoform usage.

Nature computational science May 19, 2026
Context-dependent alternative splicing plays a critical role in disease pathogenesis and organ development, but its complex regulation remains challenging to predict. Here, to address this, we developed HELIX, a hierarchical deep learning framework t... read more 

Layer-specific feature preference in a trained AlexNet model revealed by stylized image analysis.

Scientific reports May 19, 2026
Deep convolutional neural networks (DCNNs) achieve high object classification performance; however, how representational preferences systematically evolve across hierarchical layers remains unclear. Although previous studies using stylized images hav... read more 

NPINN+: an enhanced physics-informed neural network for solving wave equations with nonlocal boundary conditions.

Scientific reports May 19, 2026
Wave equations with nonlocal conditions appear in many scientific and engineering applications, such as, the population dynamics, the mathematical biology, and the materials science. The numerical challenge mainly stems from nonlocal terms, whose glo... read more 

MANet: a multimodal attention convolutional neural network for brain tumor classification.

Scientific reports May 19, 2026
Classification of brain tumors is a difficult problem in medical imaging analysis. Over the past few years, various deep learning-based techniques have been employed for detecting and classifying tumors from Computed Tomography (CT) and Magnetic Reso... read more 
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