Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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A machine learning approach for estimating Eastern Asian origins from massive screening of Y chromosomal short tandem repeats polymorphisms.

Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic in...

CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients.

CT-based abdominal body composition measures have shown associations with important health outcomes...

A machine learning model and identification of immune infiltration for chronic obstructive pulmonary disease based on disulfidptosis-related genes.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. ...

Exploring the effect of gestational diabetes mellitus on retinal vascular morphology by PKSEA-Net.

BACKGROUND: Gestational diabetes mellitus (GDM) is a temporary metabolic disorder in which small ret...

Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study.

Screening tests for disease have their performance measured through sensitivity and specificity, whi...

Nationwide real-world implementation of AI for cancer detection in population-based mammography screening.

Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations...

A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH).

Pulmonary hypertension (PH) is a complex condition associated with significant morbidity and mortal...

Prediction of late-onset depression in the elderly Korean population using machine learning algorithms.

Late-onset depression (LOD) refers to depression that newly appears in elderly individuals without p...

Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning.

Polycystic ovary syndrome (PCOS) is a primary endocrine disorder affecting premenopausal women invol...

Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.

BACKGROUND: Mexico has one of the highest global incidences of paediatric overweight and obesity. Pu...

Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets.

INTRODUCTION: Diabetes prediction using clinical datasets is crucial for medical data analysis. Howe...

Deep learning captures the effect of epistasis in multifactorial diseases.

BACKGROUND: Polygenic risk score (PRS) prediction is widely used to assess the risk of diagnosis and...

A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes.

INTRODUCTION: The incidence of type 2 diabetes mellitus (T2DM) has increased in recent years. Alongs...

[Population screening for acupuncture treatment of neck pain: a machine learning study].

OBJECTIVE: To screen the population for acupuncture treatment of neck pain, using functional magneti...

Predicting and Ranking Diabetic Ketoacidosis Risk Among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model.

To use electronic health record (EHR) data to develop a scalable and transferrable model to predict...

Accelerated Screening of Highly Sensitive Gas Sensor Materials for Greenhouse Gases Based on DFT and Machine Learning Methods.

Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to ...

A novel RFE-GRU model for diabetes classification using PIMA Indian dataset.

Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a var...

Evaluating the pathological and clinical implications of errors made by an artificial intelligence colon biopsy screening tool.

OBJECTIVE: Artificial intelligence (AI) tools for histological diagnosis offer great potential to he...

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