Cardiology Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data. September 14, 2024
Cardiology | Genomics 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. July 30, 2024
Artificial Intelligence | Cardiology | Precision Medicine Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review. June 7, 2024
Cardiology | Radiology Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort. April 27, 2024
Artificial Intelligence | Cardiology | Genomics A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool. November 2, 2023
Cardiology | Radiology Cardiovascular disease/stroke risk stratification in deep learning framework: a review. July 5, 2023
Cardiology | Endocrinology | Neurology Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study. November 26, 2022
Artificial Intelligence | Cardiology | Radiology Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm. October 29, 2022
Artificial Intelligence | Radiology | Vascular Medicine Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report. August 25, 2022
Artificial Intelligence | Cardiology | Neurology Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review. July 31, 2022
Radiology COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans. July 16, 2022
Pulmonology | Radiology 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. June 25, 2022