Primary Care

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

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Artificial intelligence approaches to the determinants of women's vaginal dryness using general hospital data.

The aim of this study is to analyse the determinants of women's vaginal dryness using machine learni...

An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization.

Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused comp...

Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans.

Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the...

Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study.

BACKGROUND: There is a growing need for the integration of patient-generated health data (PGHD) into...

Precipitate-Supported Thermal Proteome Profiling Coupled with Deep Learning for Comprehensive Screening of Drug Target Proteins.

Although thermal proteome profiling (TPP) acts as a popular modification-free approach for drug targ...

Deep learning-based pancreas volume assessment in individuals with type 1 diabetes.

Pancreas volume is reduced in individuals with diabetes and in autoantibody positive individuals at ...

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network.

Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment ...

TrendProbe: Time profile analysis of emerging contaminants by LC-HRMS non-target screening and deep learning convolutional neural network.

Peak prioritization is one of the key steps in non-target screening of environmental samples to dire...

Rhabdomyolysis: An evidence-based approach.

A 76-year-old lady was found on the floor following a fall at home. She was uninjured, but unable to...

Artificially intelligent chatbots in digital mental health interventions: a review.

INTRODUCTION: Increasing demand for mental health services and the expanding capabilities of artific...

Screening for prostate cancer: a study on the free and total prostate specific antigen.

BACKGROUND: A variety of biomarkers have been developed to monitor growth of cancerous diseases and ...

Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervica...

Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy.

This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic reti...

Prediction of coronary heart disease based on combined reinforcement multitask progressive time-series networks.

Coronary heart disease is the first killer of human health. At present, the most widely used approac...

Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents.

: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resi...

Deep Learning in the Classification of Stage of Liver Fibrosis in Chronic Hepatitis B with Magnetic Resonance ADC Images.

Liver fibrosis in chronic hepatitis B is the pathological repair response of the liver to chronic in...

Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients.

Continuous monitoring of blood glucose (BG) levels is a key aspect of diabetes management. Patients ...

Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses.

BACKGROUND: Systematic reviews are the cornerstone of evidence-based medicine. However, systematic r...

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