[HTML][HTML] Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

M Singh, A Kumar, NN Khanna, JR Laird… - …, 2024 - thelancet.com
Background The field of precision medicine endeavors to transform the healthcare industry
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 …

L Saba, M Maindarkar, AM Johri, L Mantella… - Reviews in …, 2024 - imrpress.com
Cardiovascular disease (CVD) diagnosis and treatment are challenging since symptoms
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

M Bhagawati, S Paul, L Mantella, AM Johri… - … International Journal of …, 2024 - Springer
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 …

[HTML][HTML] A Novel Approach for the Detection and Severity Grading of Chronic Obstructive Pulmonary Disease Based on Transformed Volumetric Capnography

X Mou, P Wang, J Sun, X Chen, L Du, Q Zhan, J Xia… - Bioengineering, 2024 - mdpi.com
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 …

[PDF][PDF] Stroke Risk Factor Prediction Using Machine Learning Techniques: A Systematic Review

O Olabanjo, A Wusu, O Afisi… - Journal of Applied …, 2024 - researchgate.net
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 …