Latest AI and machine learning research in primary care for healthcare professionals.
AIMS: One in 10 patients present to the emergency department (ED) with symptoms of acute coronary sy...
Veterinary electronic health records are often stored as unstructured free text, and structuring thi...
This study aimed to develop and validate an interpretable machine learning (ML) model using routine ...
Zinc finger proteins (ZFPs or ZNFs) constitute the largest family of transcription factors in mammal...
BACKGROUND: Patients with coronary artery calcification exhibit notable sex differences in clinical ...
BACKGROUND: Pharmacovigilance aims to protect patient safety by identifying and managing adverse eve...
INTRODUCTION AND AIM: Insulin resistance and obesity are significant metabolic risk factors for peri...
INTRODUCTION: Blood pressure treatment response is variable in individual patients, and the choice o...
OBJECTIVE: We aimed to use machine learning (ML) models to investigate the impact of clinical, socia...
Population aging has made sarcopenia a major public health challenge in geriatric medicine. Current ...
Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out...
BACKGROUND: Large language models (LLMs) are increasingly embedded in conversational agents for card...
PURPOSE: The advancement of decision support systems for pathology and their implementation in clini...
The dual activating potential of peroxisome proliferator-activated receptors (PPAR) α and γ offers a...
INTRODUCTION: Digital tools such as virtual reality, mobile applications and digital devices are bei...
OBJECTIVE: Non-communicable diseases (NCDs) are a growing health burden in low- and middle-income co...
OBJECTIVES: To evaluate an AI tool for opportunistic osteoporosis screening using chest radiographs ...
Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it re...
BACKGROUND: Hypertension is a major global health challenge, and effective health education is cruci...
BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring t...
BACKGROUND: Type 2 diabetes mellitus (T2DM) affects approximately 590 million people worldwide, and ...