660 results on '"Johri, Amer M."'
Search Results
2. HEART + score: integrating carotid ultrasound to chest pain assessment in the emergency department
3. GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
4. Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
5. Artificial intelligence bias in medical system designs: a systematic review
6. MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment
7. Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
8. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
9. Mediators of the Association Between Socioeconomic Status and Survival After Out-of-Hospital Cardiac Arrest: A Systematic Review
10. ACR Appropriateness Criteria® Pulsatile Abdominal Mass, Suspected Abdominal Aortic Aneurysm: 2023 Update
11. Comparative evaluation of an electrocardiogram workflow model for athletic cardiovascular screening: Primary care network versus sports cardiology interpretation
12. Shared Decision-Making in Athletes Diagnosed With a Cardiovascular Condition: A Scoping Review
13. Focused carotid ultrasound to predict major adverse cardiac events among emergency department patients with chest pain
14. Improving Wellbeing After Acute Coronary Syndrome
15. The Evolution of Cardiovascular Ultrasound: A Review of Cardiac Point-of-Care Ultrasound (POCUS) Across Specialties
16. Novel theranostic approaches to neovascularized atherosclerotic plaques
17. Effect of pharmacologic anti-atherosclerotic therapy on carotid intraplaque neovascularization: A systematic review
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
21. Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization
22. Training of Non-expert Users Using Remotely Delivered, Point-of-Care Tele-Ultrasound: A Proof-of-Concept Study in 2 Canadian Communities
23. Depression and anxiety following acute myocardial infarction in women
24. 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
25. ACR Appropriateness Criteria® Chronic Chest Pain-High Probability of Coronary Artery Disease: 2021 Update
26. ACR Appropriateness Criteria® Dyspnea-Suspected Cardiac Origin (Ischemia Already Excluded): 2021 Update
27. Depressive symptoms and inflammatory markers following acute myocardial infarction: A scoping review
28. Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
29. A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
30. A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study
31. Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
32. Progression of atherosclerosis with carnitine supplementation: a randomized controlled trial in the metabolic syndrome
33. Carotid Ultrasound‐Based Plaque Score for the Allocation of Aspirin for the Primary Prevention of Cardiovascular Disease Events: The Multi‐Ethnic Study of Atherosclerosis and the Atherosclerosis Risk in Communities Study
34. 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
35. Vascularized Carotid Atherosclerotic Plaque Models for the Validation of Novel Methods of Quantifying Intraplaque Neovascularization
36. Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization
37. Femoral plaque burden by ultrasound is a better indicator of significant coronary artery disease over ankle brachial index
38. COVID-19–Myocarditis and Return to Play: Reflections and Recommendations From a Canadian Working Group
39. ACR Appropriateness Criteria® Nonischemic Myocardial Disease with Clinical Manifestations (Ischemic Cardiomyopathy Already Excluded)
40. ACR Appropriateness Criteria® Infective Endocarditis
41. A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
42. Vascular imaging of atherosclerosis: Strengths and weaknesses
43. Abstract 10484: Carotid Plaque Score Adds Discriminatory Benefit to the Stress Echo for Major Adverse Cardiovascular Events in Low-Intermediate Risk Cardiac Patients
44. A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework
45. Maximum plaque height in carotid ultrasound predicts cardiovascular disease outcomes: a population-based validation study of the American society of echocardiography’s grade II–III plaque characterization and protocol
46. Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system
47. Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study
48. Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data.
49. Screening of Potential Cardiac Involvement in Competitive Athletes Recovering From COVID-19: An Expert Consensus Statement
50. Impact of Appropriate Use Criteria for Transthoracic Echocardiography in Valvular Heart Disease on Clinical Outcomes
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