Artificial Intelligence Medical Compendium

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

Showing 3,371 to 3,380 of 168,679 articles

Identification of copper related biomarkers in breast cancer using machine learning.

Discover oncology
BACKGROUND: Breast cancer is the most prevalent and deadly cancer among women globally, necessitating more effective diagnostic and therapeutic approaches. This study aims to explore new treatment targets and diagnostic tools. read more 

Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review.

IEEE journal of biomedical and health informatics
As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show promising results. This systematic review examines studies uti... read more 

Circulating epigenetic signatures classifying brain insulin resistance in humans.

Science translational medicine
Brain insulin action plays an important role in metabolic and cognitive health, but there is no biomarker available to assess brain insulin resistance in humans. Here, we developed a machine learning framework based on blood DNA methylation profiles ... read more 

An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments.

Scientific reports
The fast development of Internet of Things (IoT) tools in smart cities has presented many advantages, improving sustainability, automation, and urban efficiency. Still, these interlinked systems further pose critical cybersecurity difficulties, inclu... read more 

Function of chemokines in embryo implantation.

Placenta
Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted reproduction, implantation failure remains a key bottleneck limiting clinical pregnancy rates, with it... read more 

Privacy Risk Predictions Based on Fundamental Understanding of Personal Data and an Evolving Threat Landscape

arXiv
It is difficult for individuals and organizations to protect personal information without a fundamental understanding of relative privacy risks. By analyzing over 5,000 empirical identity theft and fraud cases, this research identifies which types ... read more 

Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers.

Scientific reports
Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limited by factors such as patient cooperation with spirometry. Non-invasive acoustic analysis using machine learning offers a promising alternative for ob... read more 

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1:  = 17... read more 

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

International journal of injury control and safety promotion
A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Although many studies have analyzed crash severity at HRGCs, they often rely on national datasets or a narrow set of variables, frequently overlooking region... read more