Artificial Intelligence Medical Compendium

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

Showing 1,521 to 1,530 of 213,568 articles

Hybrid 1D CNN-BiLSTM with focal loss for robust intrusion detection in in-vehicle CAN networks.

PloS one
The Controller Area Network (CAN) bus serves as the primary communication framework in modern vehicles, enabling reliable data exchange among Electronic Control Units (ECUs) for seamless interaction. The CAN protocol lacks built-in protection, leavin... read more 

Exploring administrative staff's acceptance of generative AI in Chinese vocational colleges: A UTAUT-guided thematic study.

PloS one
As Generative Artificial Intelligence (GenAI) technologies reshape institutional processes, higher vocational colleges are increasingly exploring their potential in administrative management. Guided by the Unified Theory of Acceptance and Use of Tech... read more 

Agentic AI-enhanced digital twins for Smart City civil infrastructure: A secure, autonomous and auditable management framework.

PloS one
Smart city implementation increasingly relies on sensing and analytics; however, a persistent operational gap remains between anomaly detection and safe, timely, and accountable intervention in civil infrastructure systems. This paper proposes an Age... read more 

Enhancing low-light images with MSHCDI-Net: A multi-scale hybrid cross-domain interaction approach.

PloS one
Low-light image enhancement aims to improve visual visibility and perceptual quality under challenging illumination conditions. However, conventional convolutional neural networks (CNNs) are inherently limited in modeling long-range dependencies due ... read more 

PsiAudit: An open-source toolkit for auditing symmetry-organised complexity in equivariant quantum neural networks.

PloS one
Parameterised quantum circuits are commonly assessed using measures such as expressibility, gradient behaviour, and entanglement. While useful, these measures do not indicate whether a circuit respects the symmetry it was designed to respect. This is... read more 

A novel dynamic Optuna hybrid Harris Hawks Optimization approach for classification of CAD.

PloS one
Coronary Artery Disease (CAD) is a leading cause of mortality worldwide and is primarily associated with atherosclerotic plaque formation, resulting in coronary artery stenosis. The accurate prediction of CAD using deep learning models is often const... read more 

Identifying severe COVID-19 risk variants modulating enhancer reporter activity in lung cells.

PLoS genetics
Common genetic variants contribute to risk for complex human diseases. However, despite thousands of associations, variants modulating disease risk and their functional impact remain largely unknown. This includes SARS-CoV-2 infection, where outcomes... read more 

Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.

Human reproduction update
BACKGROUND: With growing interest in ART, fertility preservation, and postmenopausal health of women, reproductive medicine is increasingly focused on characterizing oocytes and ovarian tissue composition, as well as understanding the molecular mecha... read more 

A hybrid deep learning model for user story effort estimation.

PloS one
Accurate effort estimation of user stories is a key challenge in agile software development due to both subjectivity and the complexity of natural language requirements. This paper proposes a hybrid Deep Learning (DL) model for data driven effort est... read more 

PumpKin: A machine-learning pipeline for automatically tracking localized kinematics in freely moving C. elegans.

PLoS computational biology
One of the many goals of neuroscience is to understand how the brain encodes and transforms sensory information into behavior. These animal behaviors can be studied at the level of multi-limb poses or through the focused analysis of individual body p... read more