AI Medical Compendium Topic:
Cardiovascular Diseases

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Mammography-based deep learning model for coronary artery calcification.

European heart journal. Cardiovascular Imaging
AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coron...

An automated ECG-based deep learning for the early-stage identification and classification of cardiovascular disease.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Heart disease represents the leading cause of death globally. Timely diagnosis and treatment can prevent cardiovascular issues. An Electrocardiograms (ECG) serves as a diagnostic tool for identifying heart difficulties. Cardiovascular Dis...

Machine learning-driven predictions and interventions for cardiovascular occlusions.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Cardiovascular diseases remain a leading cause of global morbidity and mortality, with heart attacks and strokes representing significant health challenges. The accurate, early diagnosis and management of these conditions are paramount in...

Optimizing cardiovascular image segmentation through integrated hierarchical features and attention mechanisms.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Cardiovascular diseases are the top cause of death in China. Manual segmentation of cardiovascular images, prone to errors, demands an automated, rapid, and precise solution for clinical diagnosis.

Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: With the advent of artificial intelligence technology, machine learning algorithms have been widely used in the area of disease prediction.

Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The potential of using retinal images as a biomarker of cardiovascular disease (CVD) risk has gained significant attention, but regulatory approval of such artificial intelligence (AI) algorithms is lacking. In this regulated pivotal trial...

Heart-to-heart with ChatGPT: the impact of patients consulting AI for cardiovascular health advice.

Open heart
OBJECTIVES: The advent of conversational artificial intelligence (AI) systems employing large language models such as ChatGPT has sparked public, professional and academic debates on the capabilities of such technologies. This mixed-methods study set...