Latest AI and machine learning research in primary care for healthcare professionals.
Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out-of-office BP measurement to assess hypertension. Yet, the complexity of the obtained data, hinders their interpretation. Therefore, in this study, we investigated whether a clustering algorithm could facilitate the integrative interpretation of 24-hour ambulatory BP and its variability to construct...
BACKGROUND: Large language models (LLMs) are increasingly embedded in conversational agents for cardiometabolic care. These systems could support self-management, but their behavior change content, delivery mechanisms, and implementation transparency are poorly understood. OBJECTIVE: This scoping review mapped behavior change techniques (BCTs) used in LLM-driven conversational agents for cardiomet...
G protein-coupled receptors (GPCRs) are therapeutic targets for over 30% of approved drugs, yet specific GPCR subtypes act as molecular initiating eve...
PURPOSE: The advancement of decision support systems for pathology and their implementation in clinical practice have been limited by the necessity fo...
The dual activating potential of peroxisome proliferator-activated receptors (PPAR) α and γ offers a promising way to address metabolic issues, neuroi...
INTRODUCTION: Digital tools such as virtual reality, mobile applications and digital devices are being implemented across various healthcare practice ...
OBJECTIVE: Non-communicable diseases (NCDs) are a growing health burden in low- and middle-income countries, with hypertension and poor glycaemic cont...
OBJECTIVES: To evaluate an AI tool for opportunistic osteoporosis screening using chest radiographs (CXRs), focusing on its diagnostic accuracy agains...
Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it remains substantially underdiagnosed. Current diagno...
BACKGROUND: Hypertension is a major global health challenge, and effective health education is crucial for improving patients' self-management. Tradit...
BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring the need for scalable screening approaches beyond e...
BACKGROUND: Type 2 diabetes mellitus (T2DM) affects approximately 590 million people worldwide, and its management relies heavily on patient education...
OBJECTIVE: Chagas disease remains a major public-health concern in endemic regions, and chronic cardiac involvement often manifests as conduction abno...
BACKGROUND: Accurate prediction of incident heart failure (HF) may help prioritize HF preventive therapies. Deep learning interpretation of echocardio...
OBJECTIVES: The continual evaluation of quality indicators (QIs) for cancer pain management is essential to maintaining and improving its quality. How...
Type 2 diabetes mellitus (T2DM) is a prevalent chronic condition, particularly in the elderly, and is associated with an increased risk of cognitive d...
Oropharyngeal dysphagia (OD) is highly prevalent (35.6%-47.4%) in hospitalized older patients but clinical screening is slow and labor-intensive, lead...
Body composition research utilizing computed tomography (CT) has increased over the past several decades as researchers use clinically acquired CT for...
BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperative complications in patients undergoing metabolic...
OBJECTIVES: To develop a generalizable framework for identifying algorithmic discrimination risks arising from subgroup imbalances in machine learning...