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1. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

2. Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0

4. A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

5. Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound

6. 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

7. COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

9. Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

10. Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study

12. Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort

15. Chapter 15 - A special report on changing trends in preventive stroke/cardiovascular risk assessment via B-mode ultrasonography

17. List of contributors

18. List of contributors

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