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1. Biological use influences the impact of inflammation on risk of major adverse cardiovascular events in rheumatoid arthritis.

2. Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review

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

7. Effects of statin therapy on diagnoses of new-onset diabetes and worsening glycaemia in large-scale randomised blinded statin trials: an individual participant data meta-analysis

10. Diabetes mellitus and cardiovascular risk management in patients with rheumatoid arthritis: an international audit

12. Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: evaluation of concordance across risk age models

14. Smoking cessation is associated with lower disease activity and predicts cardiovascular risk reduction in rheumatoid arthritis patients

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

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

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

22. Effect of statin therapy on muscle symptoms: an individual participant data meta-analysis of large-scale, randomised, double-blind trials

23. 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

28. Impact of risk factors associated with cardiovascular outcomes in patients with rheumatoid arthritis

29. Non-Invasive Assessment of Micro- and Macrovascular Function after Initiation of JAK Inhibitors in Patients with Rheumatoid Arthritis

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

33. Rheumatoid arthritis-specific cardiovascular risk scores are not superior to general risk scores: a validation analysis of patients from seven countries.

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

35. Biological use influences the impact of inflammation on risk of major adverse cardiovascular events in rheumatoid arthritis

36. Sedentary Time

37. Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

38. 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

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

40. 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

41. 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

42. 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

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