Artificial Intelligence Medical Compendium

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

Showing 46,841 to 46,850 of 224,199 articles

Imputation methods for serologic biomarkers in inflammatory bowel disease.

Scientific reports
Serologic biomarkers have emerged as a powerful tool for the diagnosis of Inflammatory Bowel Disease (IBD) and the differentiation between subgroups of IBD. However, missingness in serologic data can adversely affect the efficacy of any form of stati... read more 

Artificial intelligence-assisted optimization of Lentinula edodes extracts for enhanced bioactive profile and therapeutic potential.

Scientific reports
In this study, extraction parameters to increase the biological activities of Lentinula edodes extracts were optimized using both Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) hybrid models. Antioxidant, ... read more 

Integrating machine learning techniques for critical node identification in complex networks.

Scientific reports
Identifying the most prominent nodes in complex networks becomes more critical for applications such as information propagation, epidemic control, and network robustness. In network structure analysis, centrality measures typically use the network's ... read more 

AI-based intelligent sensing detection of cybersecurity threats using multimodal sensor data in smart devices.

Scientific reports
The IoT has posed novel cyber-physical vulnerabilities due to the fast proliferation of Internet of Things (IoT) systems. Old network-based intrusion detection solutions can poorly identify malicious activities that are caused by on-device sensors. T... read more 

A joint CNN-Bi-LSTM-transformer architecture with SHAP explanations for multi-label arrhythmia detection from 12-lead ECGs.

Scientific reports
Interpretable, automated Artificial Intelligence (AI) solutions are essential for accurate 12-lead electrocardiogram (ECG) arrhythmia classification because they remove the time-consuming and inconsistent aspects of manual interpretation. Current mod... read more 

An explainable deep learning framework for video violence detection using unsupervised keyframe selection and attention-based CNN.

Scientific reports
The exponential growth of video data from surveillance and online platforms has heightened the demand for intelligent, explainable systems capable of detecting violence in real time. This study proposes a novel Explainable Attention-Enhanced Convolut... read more