Primary Care

Nonproliferative diabetic retinopathy dataset(NDRD): A database for diabetic retinopathy screening research and deep learning evaluation.

OBJECTIVES: In this article, we provide a database of nonproliferative diabetes retinopathy, which f...

Estimating classification consistency of machine learning models for screening measures.

This article illustrates novel quantitative methods to estimate classification consistency in machin...

Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions.

 This study surveyed 51 specialist clinicians for their views on existing cognitive screening tests ...

Machine-learning-guided Directed Evolution for AAV Capsid Engineering.

Target gene delivery is crucial to gene therapy. Adeno-associated virus (AAV) has emerged as a prima...

Severity-stratification of interstitial lung disease by deep learning enabled assessment and quantification of lesion indicators from HRCT images.

BACKGROUND: Interstitial lung disease (ILD) represents a group of chronic heterogeneous diseases, an...

Binary fire hawks optimizer with deep learning driven non-invasive diabetes detection and classification.

Non-invasive diabetes detection refers to the utilization and development of technologies and method...

Artificial Intelligence Poised to Improve Retinopathy of Prematurity Screening.

Hybrid CNN-LSTM for Predicting Diabetes: A Review.

BACKGROUND: Diabetes is a common and deadly chronic disease caused by high blood glucose levels that...

A machine learning prediction model for cancer risk in patients with type 2 diabetes based on clinical tests.

BACKGROUND: The incidence of type 2 diabetes is rapidly increasing worldwide. Studies have shown tha...

Deep-learning model for prenatal congenital heart disease screening generalizes to community setting and outperforms clinical detection.

OBJECTIVES: Despite nearly universal prenatal ultrasound screening programs, congenital heart defect...

AI-Driven Enhancements in Drug Screening and Optimization.

The greatest challenge in drug discovery remains the high rate of attrition across the different pha...

HTNpedia: A Knowledge Base for Hypertension Research.

BACKGROUND: Hypertension is notably a serious public health concern due to its high prevalence and s...

An artificial intelligence model for embryo selection in preimplantation DNA methylation screening in assisted reproductive technology.

Embryo quality is a critical determinant of clinical outcomes in assisted reproductive technology (A...

Antihypertensive prescribing patterns in non-dialysis dependent chronic kidney disease: Findings from the Salford Kidney Study.

BACKGROUND: Hypertension is commonly observed in patients living with chronic kidney disease (CKD). ...

[Application and evaluation of artificial intelligence TPS-assisted cytologic screening system in urine exfoliative cytology].

To explore the application of manual screening collaborated with the Artificial Intelligence TPS-As...

Association between serum Galectin-3 and periodontitis in patients with type 2 diabetes mellitus.

OBJECTIVES: This study aims to investigate the correlation between serum Galectin-3 levels and the r...

Association of Vitamin D with Risk Factors for Coronary Artery Disease.

Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...

[Advancements in virtual screening techniques for study of enzyme inhibitor compounds].

Enzymes are closely associated with the onset and progression of numerous diseases, making enzymes a...

Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.

PURPOSE: Real-world evaluation of a deep learning model that prioritizes patients based on risk of p...

Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.

Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which has significant adv...

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from r...