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

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

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

6. 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

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

13. 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

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

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

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

25. Oral anticoagulant treatment in rheumatoid arthritis patients with atrial fibrillation results of an international audit

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

27. 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

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

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

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

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

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

39. 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

40. 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

41. 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

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

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

45. 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

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

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