Primary Care

Artificial intelligence and diabetes: time for action and caution.

Integration of metabolomics and machine learning for precise management and prevention of cardiometabolic risk in Asians.

Rapid changes in dietary patterns have led to a rise in cardiometabolic diseases (CMDs) worldwide, h...

On the application of artificial intelligence in virtual screening.

INTRODUCTION: Artificial intelligence (AI) has emerged as a transformative tool in drug discovery, p...

A review of explainable AI techniques and their evaluation in mammography for breast cancer screening.

Explainable AI (XAI) methods are gaining prominence in medical imaging, addressing the critical need...

Screening of oxidative stress components of cigarette smoke based on machine learning model integration.

Cigarette smoke, a complex mixture of more than 7000 chemicals, poses a significant threat to human ...

Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes.

Training neural networks (NNs) to behave as model predictive control (MPC) algorithms is an effectiv...

An informed machine learning based environmental risk score for hypertension in European adults.

BACKGROUND: The exposome framework seeks to unravel the cumulated effects of environmental exposures...

Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis.

BACKGROUND: Logistic regression (LR) has traditionally been the standard method used for predicting ...

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction.

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, charac...

MACHINE LEARNING AND SHOCK INDICES-DERIVED SCORE FOR PREDICTING CONTRAST-INDUCED NEPHROPATHY IN ACUTE CORONARY SYNDROME PATIENTS.

Background: Contrast-induced nephropathy (CIN) is a serious complication following acute coronary sy...

Deciphering the Regulatory Networks of the Migrasome-Associated Cell Subpopulation in Heterotopic Ossification via Multi-Omics Analysis.

Heterotopic ossification (HO) is a pathological process where bone forms in extraskeletal tissues, o...

Focus on juvenile hypertension, deep learning-qualified body composition for risk stratification, infective endocarditis, and mixed valvular heart disease.

Label-free urinary protein detection through machine learning analysis of single droplet evaporation patterns.

BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily incr...

Identification and Classification of Functional Split G-Quadruplexes Using Machine Learning-Guided Activity Screening.

Split G-quadruplexes are considered excellent tools for biosensing and diagnostics, but splitting G-...

Artificial intelligence (AI) in point-of-care testing.

The integration of artificial intelligence (AI) into point-of-care testing (POCT) represents a trans...

Developing an interpretable machine learning model for screening depression in older adults with functional disability.

This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study da...

A deep learning model could screen for coronary heart disease from a "pseudo-normal" electrocardiogram.

BACKGROUND: This study aimed to develop a deep learning model (DLM) for rapid screening of coronary ...

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study.

BACKGROUND: Insulin resistance (IR), a precursor to type 2 diabetes and a major risk factor for vari...

DWI-based deep learning radiomics nomogram for predicting the impaired quality of life in patients with unruptured intracranial aneurysm developing new iatrogenic cerebral infarcts following stent placement: a multicenter cohort study.

This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of li...

The machine learning prediction model of non-alcoholic fatty liver; the role of hydrogen and methane breath tests.

Nonalcoholic fatty liver disease (NAFLD) is now the leading cause of global chronic liver disease, a...

Wearable device for axillary lymph node screening in breast cancer based on infrared thermography and artificial intelligence.

BACKGROUND: Breast cancer (BC) is the most prevalent cancer among women worldwide, and patients with...