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1. Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort

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

4. Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images

5. Recent advances and controversial issues in the optimal management of asymptomatic carotid stenosis

6. An international, multispecialty, expert-based Delphi Consensus document on controversial issues in the management of patients with asymptomatic and symptomatic carotid stenosis

7. Carotid Plaque-RADS: A Novel Stroke Risk Classification System

12. Deep Learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images

13. Why do guidelines recommend screening for abdominal aortic aneurysms, but not for asymptomatic carotid stenosis? A plea for a randomized controlled trial

14. Characterization of COVID-19 severity in infected lungs via artificial intelligence transfer learning

15. Artificial intelligence based carotid plaque tissue characterisation and classification from ultrasound images using a deep learning paradigm

16. Magnetic resonance based Wilson’s disease tissue characterization in an artificial intelligence framework using transfer learning

17. Extended anticoagulation for venous thromboembolism: A survey of the American Venous Forum and the European Venous Forum

18. 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

20. Preclinical atherosclerosis and cardiovascular events: Do we have a consensus about the role of preclinical atherosclerosis in the prediction of cardiovascular events?

22. Optimal Management of Asymptomatic Carotid Stenosis in 2021: The Jury is Still Out. An International, Multispecialty, Expert Review and Position Statement

23. UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

24. Carotid Ultrasound Boundary Study (CUBS): An Open Multicenter Analysis of Computerized Intima–Media Thickness Measurement Systems and Their Clinical Impact

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

28. Carotid Plaque-RADS: A Novel Stroke Risk Classification System

29. An international, multispecialty, expert-based Delphi Consensus document on controversial issues in the management of patients with asymptomatic and symptomatic carotid stenosis

30. A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework

32. Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data.

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

34. 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

35. Triage of patients with venous and lymphatic diseases during the COVID-19 pandemic – The Venous and Lymphatic Triage and Acuity Scale (VELTAS):: A consensus document of the International Union of Phlebology (UIP), Australasian College of Phlebology (ACP), American Vein and Lymphatic Society (AVLS), American Venous Forum (AVF), European College of Phlebology (ECoP), European Venous Forum (EVF), Interventional Radiology Society of Australasia (IRSA), Latin American Venous Forum, Pan-American Society of Phlebology and Lymphology and the Venous Association of India (VAI)

36. 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

37. Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment

38. Prevention and management of venous thromboembolism. International Consensus Statement. Guidelines according to scientific evidence

39. Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application

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

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

45. Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.

47. An international, multispecialty, expert-based Delphi Consensus document on controversial issues in the management of patients with asymptomatic and symptomatic carotid stenosis

48. Recent advances and controversial issues in the optimal management of asymptomatic carotid stenosis

49. Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework

50. Carotid Plaque-RADS, a novel stroke risk classification system

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