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Artificial intelligence bias in medical system designs: a systematic review., , , , , , , , , and 6 other author(s). Multim. Tools Appl., 83 (6): 18005-18057 (February 2024)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., , , , , , , , , and 6 other author(s). Medical Biol. Eng. Comput., 59 (3): 511-533 (2021)Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review., , , , , , and . Comput. Biol. Medicine, (2018)A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2021)Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2019)UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias., , , , , , , , , and 5 other author(s). IEEE Access, (2023)A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework., , , , , , , , , and 12 other author(s). J. Digit. Imaging, 34 (3): 581-604 (2021)Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0., , , , , , , , , and 6 other author(s). Medical Biol. Eng. Comput., 57 (7): 1553-1566 (2019)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., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2020)3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0., , , , , , , , , and 9 other author(s). Comput. Biol. Medicine, (2020)