Primary Care

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

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Antifungal properties of carvone and linalool against species: Preliminary Screening Study.

BACKGROUND AND PURPOSE: By harnessing the power of nature, researchers can potentially discover new ...

Integrating artificial intelligence in strabismus management: current research landscape and future directions.

Advancements in artificial intelligence (AI) are transforming strabismus management through improved...

An object detection-based model for automated screening of stem-cells senescence during drug screening.

Deep learning-based cell senescence detection is crucial for accurate quantitative analysis of senes...

The Pivotal Role of Baseline LDCT for Lung Cancer Screening in the Era of Artificial Intelligence.

In this narrative review, we address the ongoing challenges of lung cancer (LC) screening using ches...

Artificial intelligence-based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus.

AIM/INTRODUCTION: We assess the efficacy of artificial intelligence (AI)-based, fully automated, vol...

Artificial Intelligence to Diagnose Complications of Diabetes.

Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artif...

Human essential gene identification based on feature fusion and feature screening.

Essential genes are necessary to sustain the life of a species under adequate nutritional conditions...

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning.

BACKGROUND: Patients with severe coronary arterystenosis may present with apparently normal electroc...

Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique.

This paper addresses the pressing issue of diabetes, which is a widespread condition affecting a hug...

Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening.

BACKGROUND/AIMS: To investigate the comprehensive prediction ability for cognitive impairment in a g...

A hybrid healthy diet recommender system based on machine learning techniques.

Obesity is a chronic disease correlated with numerous risk factors that not only negatively affect a...

Machine learning-based prediction of elevated N terminal pro brain natriuretic peptide among US general population.

AIMS: Natriuretic peptide-based pre-heart failure screening has been proposed in recent guidelines. ...

Explainable Deep Learning Approaches for Risk Screening of Periodontitis.

Several pieces of evidence have been reported regarding the association between periodontitis and sy...

Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach.

Pesticides typically co-occur in agricultural surface waters and pose a potential threat to human an...

Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri.

This research study investigates and predicts the obesity prevalence in Missouri, utilizing deep neu...

The application of artificial intelligence in health communication development: A scoping review.

This scoping review explores the integration of Artificial Intelligence (AI) with communication, beh...

vScreenML v2.0: Improved Machine Learning Classification for Reducing False Positives in Structure-Based Virtual Screening.

The enthusiastic adoption of make-on-demand chemical libraries for virtual screening has highlighted...

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