Primary Care

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

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Machine-Learning-Guided Screening of Advantageous Solvents for Solid Polymer Electrolytes in Lithium Metal Batteries.

Trace residual solvents in solid polymer electrolytes (SPEs) significantly affect electrolyte and in...

High-throughput Screening of the Mechanical Properties of Peptide Assemblies.

Peptides are recognized for their varied self-assembly behaviors, forming a wide array of structures...

Innovative Strategies in the Diagnosis and Treatment of Liver Cirrhosis and Associated Syndromes.

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mort...

M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection cr...

Development of 3D Intelligent Quantitative Phase Microscope for Sickle Cells Screening.

Sickle cell disease (SCD) is a genetic blood disorder causing red blood cells to deform into a sickl...

Predicting dementia in people with Parkinson's disease.

Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...

Cost-effectiveness of opportunistic osteoporosis screening using chest radiographs with deep learning in Germany.

BACKGROUND: Osteoporosis is often underdiagnosed due to limitations in traditional screening methods...

Detection of Systemic Diseases From Ocular Images Using Artificial Intelligence: A Systematic Review.

PURPOSE: Despite the huge investment in health care, there is still a lack of precise and easily acc...

Ethics of Artificial Intelligence in Medicine and Ophthalmology.

BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in me...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...

Machine-Learning Assisted Screening with FIND FH for Familial Hypercholesterolemia among Youth.

Although the American Academy of Pediatrics recommends universal lipid screening among children to f...

Interpretable artificial intelligence model for predicting heart failure severity after acute myocardial infarction.

BACKGROUND: Heart failure (HF) after acute myocardial infarction (AMI) is a leading cause of mortali...

Application of interpretable machine learning algorithms to predict macroangiopathy risk in Chinese patients with type 2 diabetes mellitus.

Macrovascular complications are leading causes of morbidity and mortality in patients with type 2 di...

Developing muscarinic receptor M1 classification models utilizing transfer learning and generative AI techniques.

Muscarinic receptor subtype 1 (M1) is a G protein-coupled receptor (GPCR) and a key pharmacological ...

The Society of Thoracic Radiology Mentorship Program: A Paradigm for Professional Societies.

The Society of Thoracic Radiology (STR) membership enthusiastically embraced the launch of its mento...

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has ...

Integrating different approaches for the identification of new disruptors of HIV-1 capsid multimerization.

Human Immunodeficiency Virus (HIV) belongs to the Lentivirus genus, Retroviridae family, enveloped b...

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.

Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy lo...

The march to harmonized imaging standards for retinal imaging.

The adoption of standardized imaging protocols in retinal imaging is critical to overcoming challeng...

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