Primary Care

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

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Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm.

Route optimization of hazardous materials transportation is one of the basic steps in ensuring the s...

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.

BACKGROUND & AIMS: The benefit of colonoscopy for colorectal cancer prevention depends on the adenom...

A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

STUDY OBJECTIVES: This study evaluated a novel artificial neural network (ANN) based sleep-disordere...

Development of Ligand-based Big Data Deep Neural Network Models for Virtual Screening of Large Compound Libraries.

High-performance ligand-based virtual screening (VS) models have been developed using various comput...

Evaluation of the DOAC-StopĀ® Procedure to Overcome the Effect of DOACs on Several Thrombophilia Screening Tests.

The impact of direct oral anticoagulants (DOACs) on laboratory assays used for thrombophilia testing...

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

BACKGROUND: Artificial intelligence methods in combination with the latest technologies, including m...

A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.

BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, wit...

Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder.

OBJECTIVE: In this paper, we aim to investigate the effect of computer-aided triage system, which is...

Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healt...

Factors associated with dementia in elderly.

We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clin...

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.

Recent studies show that pulmonary vascular diseases may specifically affect arteries or veins throu...

Glucagonoma and Glucagonoma Syndrome: One Center's Experience of Six Cases.

Glucagonoma is an extremely rare neuroendocrine tumor arising from pancreatic islet cells. Although...

Mechanism & inhibition kinetics of bioassay-guided fractions of Indian medicinal plants and foods as ACE inhibitors.

Hypertension is a becoming a major threat to the world. Angiotensin converting enzyme (ACE) is a key...

Automated screening of research studies for systematic reviews using study characteristics.

BACKGROUND: Screening candidate studies for inclusion in a systematic review is time-consuming when ...

An Efficient Mixed-Model for Screening Differentially Expressed Genes of Breast Cancer Based on LR-RF.

To screen differentially expressed genes quickly and efficiently in breast cancer, two gene microarr...

Automated EEG-based screening of depression using deep convolutional neural network.

In recent years, advanced neurocomputing and machine learning techniques have been used for Electroe...

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

This study evaluates and compares the performance of different machine learning techniques on predic...

Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.

Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitor...

The Problems of Realism-Based Ontology Design: a Case Study in Creating Definitions for an Application Ontology for Diabetes Camps.

A requirement of realism-based ontology design is that classes denote exclusively entities that exis...

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