Latest AI and machine learning research in primary care for healthcare professionals.
Cardiovascular diseases (CVDs) remain the foremost cause of global morbidity and mortality, driving ...
Background Sickle cell disease (SCD) is a common inherited genetic disorder and contributor to globa...
Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnor...
Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, y...
Background and aims Population screening for liver disease in high-risk groups is recommended. Commu...
As of early 2026, over 115 million US adults (more than 1 in 3) have prediabetes, a condition with a...
In this work, we investigate uncertainty-aware neural network models for blood glucose prediction an...
Abstract Background: Systematic reviews (SRs) are essential for evidence-based medicine but require ...
Background: Cognitive decline and dementia represent major public health challenges in aging populat...
Background: Cardiovascular disease remains the leading cause of global morbidity and mortality. The ...
Rare diseases affect over 300 million people worldwide, yet patients often endure years-long diagnos...
Early screening for glaucoma and diabetic retinopathy (DR) is critical to prevent irreversible visio...
The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine...
Legitimacy screening, the process of verifying the identity and purpose of customers ordering synthe...
Causal discovery has achieved substantial theoretical progress, yet its deployment in large-scale lo...
We propose an experience-guided cascaded multi-agent framework for Breast Ultrasound Screening and D...
Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising bu...
In recent years, high dimensional omics analyses have become more commonplace for investigating comp...
Objectives: Artificial intelligence (AI) enabled digital stethoscopes combine phonocardiography and ...
Early detection of myometrial invasion is critical for the staging and life-saving management of end...
Background: Advances in wearable devices and machine-learning-based ECG analysis enable highly accur...