AIMC Topic: Cardiovascular Diseases

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The Role of Pericardial Fat in Cardiometabolic Disease: Emerging Evidence and Therapeutic Potential.

Current cardiology reports
PURPOSE OF REVIEW: This review explores the unique anatomy and pathophysiology of pericardial fat (including both epicardial adipose tissue [EAT] and paracardial fat), its clinical significance, and its potential role as a therapeutic target. It addr...

Novel Insights into the Application of Large Language Models in the Diagnosis and Treatment of Complex Cardiovascular Diseases: A Comparative Study.

Journal of medical systems
The rapid evolution of large language models (LLMs) in the medical field, particularly in automating medical tasks and supporting diagnosis and treatment, has shown promising potential. However, their accuracy, comprehensiveness, and safety in managi...

AI in Adipose Imaging: Revolutionizing Visceral Adipose Tissue, Ectopic Fat, and Cardiovascular Risk Assessment.

Current atherosclerosis reports
PURPOSE OF REVIEW: This review explores the role of artificial intelligence (AI) in visceral adipose tissue (VAT) and ectopic fat imaging. It aims to evaluate how AI may be used to enhance the efficiency and accuracy of cardiovascular disease (CVD) r...

Impact of the oxidative balance score on cardiovascular-kidney-metabolic syndrome: A cross-sectional study with machine learning prediction.

PloS one
BACKGROUND AND AIM: The antioxidant diet and lifestyle are widely believed to prevent and even treat various diseases; however, their applicability to cardiovascular-kidney-metabolic (CKM) syndrome remains unknown. In this study, the correlation betw...

Invasive and non-invasive variables prediction models for cardiovascular disease-specific mortality between machine learning vs. traditional statistics.

Scientific reports
This study examined the predictive performance of cardiovascular disease (CVD)-specific mortality using traditional statistical and machine learning models with non-invasive indicators, and assessed whether adding blood lipid profiles improves predic...

Optimized hybrid RNN-GRU model for predictive diagnosis of cardiovascular disease.

Biomedical physics & engineering express
Cardiovascular disease (CVD) continues to be the leading cause of death for individuals all over the globe, and India bears a disproportionate share of the burden associated with this condition. A hybrid deep learning model that combines Recurrent Ne...

Evaluating Large Language Models and Retrieval-Augmented Generation Enhancement for Delivering Guideline-Adherent Nutrition Information for Cardiovascular Disease Prevention: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Cardiovascular disease (CVD) remains the leading cause of death worldwide, yet many web-based sources on cardiovascular (CV) health are inaccessible. Large language models (LLMs) are increasingly used for health-related inquiries and offe...

Cardiovascular risk prediction and influencing predictors identification among Bangladeshi individuals using machine learning algorithms and association rule mining.

PloS one
BACKGROUND: Cardiovascular disease (CVD) encompasses a group of disorders that affect the heart and blood vessels, making it one of the leading causes of death globally, including in Bangladesh. Applying predictive modeling for the early identificati...

Spatial heterogeneity and its influencing factors of cardiometabolic multimorbidity in a natural community population: a study based on Lingwu city, rural Northwest China.

BMC public health
OBJECTIVE: Cardiometabolic multimorbidity (CMM) significantly contributes to the economic burden in China, particularly in rural areas. This study aimed to analyze the spatiotemporal distribution of CMM and identify its primary influencing factors in...