Primary Care

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

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Artificial Intelligence in Hypertension: Seeing Through a Glass Darkly.

Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of...

Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews.

BACKGROUND: Systematic reviews and meta-analyses provide the highest level of evidence to help infor...

Relationship between Artificial Intelligence-Based General Anesthetics and Postoperative Cognitive Dysfunction.

Postoperative cognitive dysfunction (POCD) refers to the complications of the central nervous system...

Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study.

BACKGROUND: In recent years, mobile-based interventions have received more attention as an alternati...

Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA.

Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial a...

Two novel potent ACEI peptides isolated from meat hydrolysates using analysis: identification, screening and inhibitory mechanisms.

The aim of this study was to discover potent angiotensin-converting enzyme (ACE) inhibitory (ACEI) p...

Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia.

BACKGROUND AND OBJECTIVES: Diagnosis of Pulmonary Rifampicin Resistant Tuberculosis (RR-TB) with the...

Lightweight pyramid network with spatial attention mechanism for accurate retinal vessel segmentation.

PURPOSE: The morphological characteristics of retinal vessels are vital for the early diagnosis of p...

Host-dependent molecular factors mediating SARS-CoV-2 infection to gain clinical insights for developing effective targeted therapy.

Coronavirus disease 2019 (COVID-19), a recent viral pandemic that first began in December 2019, in H...

Image processing and machine learning for telehealth craniosynostosis screening in newborns.

OBJECTIVE: The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic s...

Artificial Intelligence (AI) and Retinal Optical Coherence Tomography (OCT).

Ophthalmology has been at the forefront of medical specialties adopting artificial intelligence. Thi...

Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model.

The World Health Organization (WHO) estimated that in 2016, 1.6 million deaths caused were due to di...

Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model.

Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and...

Artificial intelligence for the real world of breast screening.

Breast cancer screening with mammography reduces mortality in the women who attend by detecting high...

Evaluation of machine learning algorithms for health and wellness applications: A tutorial.

Research on decision support applications in healthcare, such as those related to diagnosis, predict...

A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes.

Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent ...

What Is in a Plan? Using Natural Language Processing to Read 461 California City General Plans.

Land-use control is local and highly varied. State agencies struggle to assess plan contents. Simila...

Assessment of breast positioning criteria in mammographic screening: Agreement between artificial intelligence software and radiographers.

OBJECTIVES: To determine the agreement between artificial intelligence software (AI) and radiographe...

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