Primary Care

Can Artificial Intelligence Replicate Human Qualitative Analysis?

INTRODUCTION: Qualitative research is essential in surgical education for exploring complex social phenomena. However, thematic analysis is time-intensive, requires methodological expertise, and is inherently subject to interpretive bias. Artificial intelligence (AI) has increasingly been explored as a tool to support qualitative analysis, though its role in interpreting complex, abstract concepts...

Prevalence and a LASSO-derived prediction model for screening-positive mild cognitive impairment among older adults in Wuhan.

This study aimed to investigate the prevalence of screening-positive mild cognitive impairment (s-MCI) and to develop a parsimonious prediction model using machine learning methods to identify high-risk older adults in Wuhan, China. A total of 2,190 community-dwelling adults aged ≥ 60 years were recruited through multistage cluster sampling from 30 residential committees in 13 districts. MCI scree...

Smartwatch-derived exercise metrics as predictors of early hypertension: a prospective observational study.

BACKGROUND: Early identification of individuals at risk for hypertension is essential for effective cardiovascular disease. Physiological and activity...

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort.

INTRODUCTION: With rapid population aging in China, depression among middle-aged and older adults has become a major public health concern. Chronic pa...

Artificial Intelligence in Burn and Wound Care: Image Analysis, Prediction, and Clinical Integration.

Burn injuries and chronic wounds impose a substantial and growing global health and economic burden, particularly in low- and middle-income countries ...

A body roundness index (BRI)-based predictive model for metabolic syndrome in perimenopausal and postmenopausal women-from a cross-sectional machine learning study to a longitudinal dynamic assessment.

BACKGROUND AND AIMS: Metabolic syndrome (MetS) is highly prevalent among perimenopausal and postmenopausal women and poses a major public health chall...

First-trimester multi-modal cell-free DNA analysis for prediction of preterm and term preeclampsia.

BACKGROUND: Preeclampsia, which is a leading cause of maternal and perinatal mortality and morbidity, represents a biologically heterogeneous syndrome...

Improving Precision Diagnosis and Treatment of Diabetes in Low-Resource Settings in Africa Through Structured Clinical Phenotyping: A Narrative Review.

Precision diabetes care is an evolving evidence-based, personalised approach that uses an individual's clinical, metabolic, and genetic data to accura...

Emerging Applications of Artificial Intelligence in Pediatric Care.

Artificial intelligence (AI) technologies such as machine learning (ML), deep learning (DL), predictive analytics and other tools are rapidly changing...

Regional variability in the associations between social and health-related risk factors and memory across Europe.

Interventions targeting social and health-related risk factors are thought to reduce the risk of cognitive decline and dementia in older age. Despite ...

Cross-population validation of the TyG-ABSI index as a novel predictor for chronic obstructive pulmonary disease: an integrated analysis using logistic regression and explainable machine learning.

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is increasingly recognized as a systemic inflammatory condition closely linked to metabolic d...

Home-based eye tracking for early autism screening: a scoping review of approaches, evidence, and implementation challenges.

BACKGROUND: Early identification of autism spectrum disorder (ASD) is essential for improving developmental outcomes but remains challenging due to di...

Association of the CHG Index with the onset, progression, and prognosis of cardiovascular-kidney-metabolic syndrome: findings from two large prospective cohorts.

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome represents a composite disease state driven by glucose and lipid metabolic dysregulation. T...

An Open-Source Systematic Reviews Integrated System (OSSYRIS) - Streamlining Processes and Standardising Data Structures.

INTRODUCTION: Carrying out a systematic review (SR) of the literature entails a high workload and encompasses a variety of very different tasks. The e...

No-reflow phenomenon during percutaneous coronary intervention: Contemporary insights into mechanisms, prediction, and management.

No-reflow phenomenon remains a common and prognostically adverse complication of percutaneous coronary intervention (PCI), characterized by impaired m...

Can AI chatbots effectively respond inquiries for patients with Pulmonary Arterial Hypertension about exercise and physical activity: A comparative study of three chatbots.

OBJECTIVE: The utilization of artificial intelligence-based chatbots in the healthcare field is increasingly prevalent. Nonetheless, the quality of re...

Clinical Implications and Research Progress of Salivary Biomarkers for Endocrine and Metabolic Disorders.

AIMS: Similar to blood, saliva contains a broad range of biomarkers and may offer a non-invasive, repeatable specimen for endocrine and metabolic asse...

Stacking machine learning model for risk stratification of acute respiratory distress syndrome after traumatic brain injury: a multicenter retrospective study.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a severe complication after traumatic brain injury (TBI), and early risk stratification may ...

Development of a deep learning based framework for classification of Indian venomous snakes integrated with explainable artificial intelligence for primary and emergency care providers.

BACKGROUND: Snakebite envenoming is a significant global health crisis that has been long neglected as a global health priority. It is a huge problem ...

Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study.

BACKGROUND: Chronic kidney disease (CKD) is a global health burden characterized by heterogeneous progression trajectories. Without timely and appropr...