Artificial Intelligence Medical Compendium

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

Showing 23,421 to 23,430 of 217,176 articles

Artistic style classification in traditional cultural heritage using convolutional neural networks.

Scientific reports May 2, 2026
The automatic recognition of artistic styles is an important part of the management, analysis, and access to the huge digital cultural heritage archives. Nevertheless, the aesthetic complexity and minor distinctions between works of art become seriou... read more 

Clustering and machine learning techniques identify air pollution regimes in Greater Cairo.

Scientific reports May 2, 2026
Air pollution is a major environmental and public health challenge in Greater Cairo due to rapid urbanization, intense traffic activity, and recurrent regional dust intrusions. This study presents a data driven analytical framework for identifying an... read more 

Enhancing corporate bankruptcy prediction and customer relationship sustainability through CNN-based financial feature transformation.

Scientific reports May 2, 2026
Corporate bankruptcy prediction is essential for assessing companies' capacity to maintain sustainable customer relationships and service quality. This study proposes a novel CNN-based hybrid approach that transforms correlation-filtered financial fe... read more 

LigGen-a GEN-AI based ligand generation approach for de-novo drug design.

Scientific reports May 2, 2026
Navigating the vast chemical space to identify potent therapeutic agents with optimal pharmacokinetic properties remains a formidable bottleneck in pharmaceutical development. While virtual screening is limited to the exploration of existing chemical... read more 

A compact and interpretable multi-source framework for heterogeneous medical image classification.

Scientific reports May 2, 2026
Deep learning models for medical image analysis often rely on large-scale parameterization, which may limit their practical use in resource-constrained settings. This study aims to design a structurally compact multi-source framework capable of deliv... read more 

Satellite estimation of global air sea CO2 flux from 2000 to 2020.

Scientific reports May 2, 2026
The global ocean carbon dioxide flux (air-sea) has shown a slow upward trend. Based on more than 160,000 quality-controlled measurements of surface ocean carbon dioxide fugacity from 2000 to 2020, a satellite-based ocean-atmosphere carbon dioxide fug... read more 

Graph-based analysis of frequency response measurements for assessment of winding faults in power autotransformers.

Scientific reports May 2, 2026
Accurate assessment of winding faults in large power autotransformers using frequency response analysis (FRA) remains challenging due to the complex electromechanical coupling between winding geometry and the measured response. This paper proposes a ... read more 

Detection of benign prostatic hyperplasia using RGB prostate images and deep learning.

Scientific reports May 2, 2026
This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep learning-based analysis of RGB prostate histopathological images. Adaptive Contrast Limited Adaptive Histogram Equalization (CLAHE) is selectively applied... read more 

Physics-guided resampling and asymmetric fusion for ultra-high-frequency bolt-loosening detection.

Scientific reports May 2, 2026
Reliable detection of bolt loosening in safety-critical infrastructure requires monitoring that captures microsecond-scale transients. However, processing 1 MHz vibration signals at the edge presents a fundamental dilemma: standard downsampling can s... read more 

Adaptive regression model for Parkinson's disease diagnosis from speech signals using Box-Cox-based clustering and extremely randomization.

Scientific reports May 2, 2026
Parkinson's Disease (PD) is a progressive neurodegenerative disorder that causes motor and cognitive impairments, affecting approximately 1% of individuals over 60 years of age. Speech impairments are among the earliest and most accessible biomarkers... read more 
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