Latest AI and machine learning research in primary care for healthcare professionals.
PURPOSE: To develop a machine learning-based modeling approach for extracting elastic stiffness estimates from Ocular Response Analyzer (ORA) waveforms. DESIGN: Prospective observational cohort study with model training and testing using development dataset and validation with independent dataset. SUBJECTS: Participants were prospectively enrolled into six cohorts for the Development dataset, incl...
Diabetes is a chronic medical disorder caused by insufficient production of the hormone insulin by the pancreas. Although there are various treatment options available for controlling diabetes, including non-peptide-based medications, the majority of these have adverse effects and are limited in comparison to peptide-based drugs. Protein drugs offer numerous benefits, including weight loss, signif...
Type 2 diabetes is driven in part by metabolic inflammation, where activation of the Chrebp/Txnip axis promotes NLRP3 inflammasome assembly, leading t...
In this study, we developed models for predicting aflatoxin contamination in Texas maize samples. These models were trained on individual or median hi...
BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they often require long durations and frequent sessions. To...
INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevated cardiovascular risk, including hypertension. De...
Atrial fibrillation (AF) is the most common arrhythmia and is a leading cause of stroke and heart failure yet often remains undiagnosed. Screening has...
OBJECTIVES: Predicting mortality is vital for tailoring treatments, improving care and reducing costs. Machine learning (ML) has shown strong potentia...
Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respiratory disease screening suitable for self-managem...
BACKGROUND: Deep learning has shown promise in diabetes management but faces challenges in real-world application due to its "black-box" nature, chara...
BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China, accounting for 48.98% and 47.35% of mortality in ...
Chronic kidney disease (CKD) is a progressive condition requiring early detection for optimal patient outcomes. This study developed an interpretable ...
The enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) is a validated therapeutic target for type 2 diabetes mellitus due to its role in local ...
BACKGROUND: Developments in artificial neural networks (ANNs) offer significant promise for cancer screening and risk prediction, with the potential t...
Recent scientific and technological advances have dramatically expanded the possibilities in cardiovascular medicine. Landmark clinical trials have in...
BACKGROUND: While AI-assisted polyp detection has advanced significantly, comprehensive AI-based colonoscopy quality assessment tools remain limited. ...
Cuffless blood pressure (BP) monitoring devices represent a promising innovation in hypertension management. This scientific statement provides a comp...
Underserved communities in the United States continue to face substantial barriers to accessing eye care, leading to preventable vision loss. This rev...
BACKGROUND: The Mini-Mental State Examination (MMSE) remains widely used for cognitive screening, yet its performance varies substantially across educ...
Type 2 diabetes (T2D) is associated with cognitive decline and neurodegenerative disorders. Changes in the connections between brain regions responsib...