Artificial Intelligence Medical Compendium

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

Showing 59,801 to 59,810 of 228,014 articles

Improved one-dimensional residual network high-voltage DC diagnosis for high-precision fault identification.

PloS one
High-Voltage Direct Current (HVDC) transmission systems require fast and reliable fault diagnosis to ensure secure and stable operation. However, existing methods, including conventional Convolutional Neural Networks (CNNs), often suffer from limited... read more 

Lateralized effects of vagus nerve stimulation on cortical spreading depression: insights from a mouse model.

Neurological research
OBJECTIVES: Vagus nerve stimulation (VNS) is increasingly recognized as a therapeutic approach for neurological disorders, such as epilepsy, migraine, and stroke rehabilitation. However, clinical outcomes vary considerably among individuals, undersco... read more 

Improving micromorphological analysis with CNN-based segmentation of flint/obsidian, bone and charcoal.

PloS one
The quantification and identification of components in archaeological micromorphology remain subjective and challenging, particularly for early-career researchers. To address this, we developed a deep learning tool for the automatic segmentation of t... read more 

Semantic code clone detection using hybrid intermediate representations and BiLSTM networks.

PloS one
Semantic code clone detection plays an essential role in software maintenance and quality assurance, as it helps uncover fragments of code that express the same logic even when their syntax has been altered or deliberately obfuscated. In this study, ... read more 

Proactive safety at CVIS-enabled intersections: a framework based on high-fidelity trajectory reconstruction and dynamic risk assessment.

Accident; analysis and prevention
High-fidelity vehicle trajectories are critical for proactive safety at intersections, where traditional reconstruction methods based on linear models or interpolation fail to capture complex nonlinear dynamics like sudden stops and sharp turns. Whil... read more 

When does visual distraction become dangerous in car-following? Evidence from naturalistic driving study data with causal inference on time-to-collision and braking intensity.

Accident; analysis and prevention
Visual distraction is a major contributor to crash risk, particularly in car-following situations that demand continuous monitoring and rapid response. Although prior research using simulators and Naturalistic Driving Study (NDS) data has advanced ou... read more 

Comparative evaluation of limit-of-detection-based and K-nearest-neighbors-based classification approaches for detecting effluent contamination using fluorescence-derived water quality parameters.

Journal of environmental management
Rapid and low-cost detection of wastewater treatment plant (WWTP) effluent contamination in aquatic systems protects public health and environmental quality. While optical whiteners and fluorescence-derived organic compounds in treated wastewater eff... read more 

Advanced composting simulation technologies: A systematic review of methodological frameworks and applications.

Journal of environmental management
The conventional composting systems face technical limitations due to the complex substrates and nonlinear biochemical dynamics, resulting in unstable efficiency. The integration of computational approaches has advanced process simulation capabilitie... read more