Primary Care

Chronic Disease Management Using Big Data and Predictive Models (Big Data & Predictive Analytics).

Accurate prediction of thirty-day hospital readmissions in large clinical cohorts depends on data qu...

Interpretable machine learning-enabled risk stratification for pulmonary arterial hypertension associated with unrepaired congenital heart disease: results from a national prospective registry.

BACKGROUND: Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH as...

Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.

OBJECTIVE: To examine whether the outputs of machine learning algorithms designed to predict risk of...

[Interpretation of joint statement from GOLD/GLI regarding the use of spirometry to define airflow obstruction and diagnose COPD].

Chronic obstructive pulmonary disease(COPD) remains a leading cause of mortality worldwide, and spir...

Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era.

OBJECTIVE: Breast cancer (BC) is a worldwide health task, and its increasing frequency and the assoc...

Artificial Intelligence-Enabled Orthodontic Care for Remote and Underserved Populations: A Scoping Review of Access, Technology, and Public Health Integration.

BACKGROUND: Unequal access to orthodontic care remains a major public health challenge, particularly...

Comment on "Artificial intelligence enhanced contemporary pulmonary hypertension care".

[Echocardiography in cardiology-Basic tool, current developments and future perspectives].

Despite advances in computed tomography (CT) and magnetic resonance imaging (MRI), transthoracic ech...

Nursing Roles in Diabetic Foot Ulcer Prevention, Wound Management, and Digital Monitoring.

Diabetic foot ulcers (DFUs) remain a major cause of infection, hospitalization, impaired quality of ...

Prospective accuracy study on an artificial intelligence-based ultrasound system for gestational age estimation among pregnant women in Ghana, Kenya and South Africa: protocol.

BACKGROUND: Risk screening for pre-eclampsia relies on accurate gestational age assessment, but rout...

Implementation Determinants for AI-Enabled Digital Mental Health Interventions Across Asian Mental Health Systems: A Scoping Review Using the Donabedian Model.

Mental health disorders impose a rapidly growing burden across Asia, where treatment gaps routinely ...

Clinicians' Attitudes and Perceptions on the Adoption of AI in Mental Health Care: Scoping Review.

BACKGROUND: AI is increasingly being integrated into health care workflows, with growing interest in...

Performance of AI-Based Screening Tools for Obstructive Sleep Apnea Across Apnea-Hypopnea Index Thresholds: Systematic Review and Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) is highly prevalent but remains substantially underdiagnos...

Machine learning identifies depression risk in older adults with chronic diseases: Clarifying shared risk factors stratified by cognitive impairment status.

BACKGROUND: The prevalence of depression is higher among older adults with chronic diseases and cogn...

Predicting Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Systematic Review of Deep Learning Models for Early-Stage Disease Classification.

INTRODUCTION: Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which early d...

State-of-the-Art Artificial Intelligence Frameworks and Models for Diagnostic Veterinary Anatomy.

BACKGROUND: Artificial intelligence (AI) is increasingly being used in diagnostic veterinary anatomy...

Evolving landscape of paediatric sepsis: progress, gaps and the next generation of tools.

Paediatric sepsis remains a major cause of childhood mortality worldwide, despite substantial change...

Association between the ratio of uric acid to high-density lipoprotein cholesterol (UHR) and the abnormal risk of sarcopenia: Evidence from two large population-based surveys and interpretable machine learning-driven sarcopenia screening.

BACKGROUND: Sarcopenia is a geriatric syndrome linked to nutritional intake, chronic inflammation an...

Machine Learning in Traumatic Brain Injury: Dynamic Prediction from Continuous Physiological Monitoring and ICU Data.

BACKGROUND: Continuous physiological monitoring in neurocritical care generates large volumes of hig...

The triple burden of malnutrition and the role of machine learning: A systematic review.

BackgroundMalnutrition remains a key global health concern encompassing the triple burden of undernu...

Digital Health in Obesity Care: Current Evidence, Challenges, and Future Directions.

PURPOSE OF REVIEW: The purpose of this review is to highlight areas in which digital technologies in...