[HTML][HTML] Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Background The field of precision medicine endeavors to transform the healthcare industry
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
[HTML][HTML] UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features …
Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms
appear late in the disease's progression. Despite clinical risk scores, cardiac event …
appear late in the disease's progression. Despite clinical risk scores, cardiac event …
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in
cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well …
cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well …
[HTML][HTML] A Novel Approach for the Detection and Severity Grading of Chronic Obstructive Pulmonary Disease Based on Transformed Volumetric Capnography
Chronic Obstructive Pulmonary Disease (COPD), as the third leading cause of death
worldwide, is a major global health issue. The early detection and grading of COPD are …
worldwide, is a major global health issue. The early detection and grading of COPD are …
[PDF][PDF] Stroke Risk Factor Prediction Using Machine Learning Techniques: A Systematic Review
This review addresses the global challenge of stroke, a leading cause of disability and
mortality. The unpredictability and severe impact of stroke necessitate advanced prediction …
mortality. The unpredictability and severe impact of stroke necessitate advanced prediction …