Artificial Intelligence Medical Compendium

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

Showing 421 to 430 of 158,332 articles

Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.

Scientific reports
Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pathological changes in the retinal neural and vascular system. Recently, fundus imaging is a popular technology and widely used for clinical diagnosis, ...

Long-Term Prediction Model for Fuzzy Granular Time Series Based on Trend Filter Decomposition and Ensemble Learning.

IEEE transactions on cybernetics
In the realm of control theory, the complex task of long-term time series prediction has been profoundly transformed by the confluence of advancements in computer technology and machine learning. However, the application of fuzzy information granular...

A fourfold pathogen reference ontology suite.

Journal of biomedical semantics
BACKGROUND: Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related data. The Infectious Disease Ontology (IDO) and its extensions, such as the Coronavirus I...

Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.

Journal of medical Internet research
BACKGROUND: Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neonatal death globally and the second leading cause of infant mortality in the United States. There is mounting evidence that COVID-19 infection during pr...

The role of metabolism in shaping enzyme structures over 400 million years.

Nature
Advances in deep learning and AlphaFold2 have enabled the large-scale prediction of protein structures across species, opening avenues for studying protein function and evolution. Here we analyse 11,269 predicted and experimentally determined enzyme ...

Leveraging machine learning models to evaluate immune infiltration in the ovarian cancer microenvironment: a single-cell analysis approach.

Discover oncology
BACKGROUND: The prognosis of ovarian cancer is closely related to the degree of immune cell infiltration within the tumor microenvironment. However, current methods for assessing immune infiltration have certain subjective limitations. This study aim...

Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network.

Scientific reports
The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. The Xception-NN model, which is a modif...

A clinicians' guide to non-invasive ventilation for exacerbated chronic obstructive pulmonary disease.

Expert review of respiratory medicine
INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) is a debilitating condition marked by persistent airflow limitation, leading to increased morbidity and mortality. Acute exacerbations of COPD (AECOPD) can cause rapid deterioration, resultin...

Implementing and evaluating the quality 4.0 PMQ framework for process monitoring in automotive manufacturing.

Scientific reports
This study presents an applied integration of machine learning (ML) within the Process Monitoring for Quality (PMQ) framework to address persistent limitations in traditional quality control systems, particularly their inability to manage high-dimens...

Detection of focal impaired awareness seizures using a biometric shirt.

Epilepsia open
OBJECTIVE: In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic-clonic seizures. This study evaluates the f...