Artificial Intelligence Medical Compendium

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

Showing 1,851 to 1,860 of 165,462 articles

A bearing fault diagnosis method based on hybrid artificial intelligence models.

PloS one Jul 31, 2025
The working state of rolling bearing severely affects the performance of industrial equipment. Addressing the issue of that the difficulty of incipient weak signals feature extraction influences the rolling bearing diagnosis accuracy, an efficient be... read more 
Deep Learning Models, Theoretical Humans Artificial Intelligence Algorithms Neural Networks, Computer

Structure-based virtual screening, molecular docking, and MD simulation studies: An in-silico approach for identifying potential MBL inhibitors.

PloS one Jul 31, 2025
The global rise of antibiotic-resistant infections has been driven in part by the spread of bacteria producing metallo-β-lactamase (MBL), particularly New Delhi metallo-β-lactamase-1 (NDM-1). Currently, there are no clinically approved inhibitors tar... read more 
Molecular Docking Simulation Drug Evaluation, Preclinical beta-Lactamases Molecular Dynamics Simulation Quantitative Structure-Activity Relationship beta-Lactamase Inhibitors

Uncovering locomotor learning dynamics in people with Parkinson's disease.

PloS one Jul 31, 2025
Locomotor learning is important for improving gait and balance impairments in people with Parkinson's disease (PD). While PD disrupts neural networks involved in motor learning, there is a limited understanding of how PD influences the time course of... read more 
Humans Learning Male Middle Aged Case-Control Studies Female Aged Motor Skills Gait Locomotion Parkinson Disease Bayes Theorem

Decoding corporate communication strategies: Analysing mandatory published information under Pillar 3 across turbulent periods with unsupervised machine learning.

PloS one Jul 31, 2025
This study explores the communication patterns of Slovak banks with stakeholders through mandatory disclosures mandated by Basel III's Pillar 3 framework and annual reports in 2007-2022. Our primary objective is to identify key topics communicated by... read more 
Humans Communication Unsupervised Machine Learning COVID-19

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Research (Washington, D.C.) Jul 31, 2025
Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive behavior characterized by deliberate self-harm, yet its neurobiological underpinnings remain elusive. Spontaneous self-injurious behavior (SIB) in no... read more 

PairReg: A method for enhancing the learning of molecular structure representation in equivariant graph neural networks.

PloS one Jul 31, 2025
The 3D structure of molecules contains a wealth of important information, but traditional 3DCNN-based methods fail to adequately address the transformations of rigid motions (rotation, translation, and mapping). Equivariant graph neural networks (EGN... read more 
Models, Molecular Molecular Structure Neural Networks, Computer Algorithms Graph Neural Networks

AI-Driven fetal distress monitoring SDN-IoMT networks.

PloS one Jul 31, 2025
The healthcare industry is transforming with the integration of the Internet of Medical Things (IoMT) with AI-powered networks for improved clinical connectivity and advanced monitoring capabilities. However, IoMT devices struggle with traditional ne... read more 
Fetal Distress Heart Rate, Fetal Fetal Monitoring Cardiotocography Internet of Things Artificial Intelligence Humans Pregnancy Female Algorithms Deep Learning Neural Networks, Computer

A long-term localization and mapping system for autonomous inspection robots in large-scale environments using 3D LiDAR sensors.

PloS one Jul 31, 2025
Inspection mobile robots equipped with 3D LiDAR sensors are now widely used in substations and other critical circumstances. However, the application of traditional LiDAR sensors is restricted in large-scale environments. Prolonged operation poses th... read more 
Imaging, Three-Dimensional Robotics Remote Sensing Technology Algorithms

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Human vaccines & immunotherapeutics Jul 30, 2025
Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is of great significance for effectively addressing potential public health crises. Based on survey data from China, we employed a Gradient Boosting Decis... read more 
Vaccination Hesitancy Health Knowledge, Attitudes, Practice Young Adult Decision Making Adult COVID-19 Vaccines SARS-CoV-2 Vaccination Humans China Aged COVID-19 Surveys and Questionnaires Female Machine Learning Male Adolescent Middle Aged

AI-directed voxel extraction and volume EM identify intrusions as sites of mitochondrial contact.

The Journal of cell biology Jul 30, 2025
Membrane contact sites (MCSs) establish organelle interactomes in cells to enable communication and exchange of materials. Volume EM (vEM) is ideally suited for MCS analyses, but semantic segmentation of large vEM datasets remains challenging. Recent... read more 
Volume Electron Microscopy Mitochondria Microscopy, Electron Humans Artificial Intelligence
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