Welcome to POCUS Journal by Amer M. Johri

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Case File: Rapid Diagnosis of Pericardial Effusion by Jeffrey Wilkinson, Amer M. Johri

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Research: Does the Addition of Ultrasound Enhance Cardiac Anatomy Learning in Undergraduate Medical Education? by Joshua Durbin, Amer M. Johri, Anthony Sanfilippo

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Case Report: Early signs of tamponade may be detected by cardiac point-of-care ultrasound by Michael Cenkowski, Amer M. Johri, Raveen Pal, Jennifer Hutchison

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The Hybrid POCUS-to-Echo Feasibility Study: Provision of Expedited Cardiac Point of Care Ultrasound Service (e-POCUS) by the Echocardiography Lab by Hanane Benbarkat, Tony Sanfilippo, Jian Zhang, Amer M. Johri

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Depressive symptoms and inflammatory markers following acute myocardial infarction: A scoping review by Emma A. Mensour, Kiera Liblik, Laura E. Mantella, Amer M. Johri

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Review: Paramedic POCUS, Turning Our Heads to the Prehospital Side of the Fence: A Narrative Review of Education, Training and Future Direction by Cristina D’Alessandro, Ian R. Drennan, Joseph Newbigging, Amer M. Johri

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Increased carotid artery stiffness after preeclampsia in a cross‐sectional study of postpartum women by Logan C. Barr, Julia E. Herr, Marie‐France Hétu, Graeme N. Smith, Amer M. Johri

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Patient Involvement in Care, Psychosocial Outcomes, and Quality of Life in Hypertrophic Cardiomyopathy: A Pilot Study by Braeden Hill, BHSc, Nicholas Grubic, MSc, Kiera Liblik, MSc, Amer M. Johri, MD, MSc, FRCPC, FASE

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Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification by Skandha S. Sanagala, Andrew Nicolaides, Suneet K. Gupta, Vijaya K. Koppula, Luca Saba, Sushant Agarwal, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri

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Lessons Learned from POCUS Instruction in Undergraduate Medicine During the COVID-19 Pandemic by Sherwin Wong, Salwa Nihal, Danny Yu Jia Ke, Emma Neary, Luke Wu, Edwin Ocran, Michael Cenkowski, Nicholas Grubic, Stephen C. Pang, Amer M. Johri

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A cluster-randomized trial to reduce major perinatal morbidity among women with one prior cesarean delivery in Québec (PRISMA trial): study protocol for a randomized controlled tri... by N. Chaillet, E. Bujold, B. Masse, W. A. Grobman, P. Rozenberg, J. C. Pasquier, A. Shorten, M. Johri, F. Beaudoin, H. Abenhaim, S. Demers, W. Fraser, M. Dugas, S. Blouin, E. Dubé, R. Gauthier, PRISMA Trial Research Group

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GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides by Jaskaran Singh, Narendra N. Khanna, Ranjeet K. Rout, Narpinder Singh, John R. Laird, Inder M. Singh, Mannudeep K. Kalra, Laura E. Mantella, Amer M. Johri, Esma R. Isenovic, Mostafa M. Fouda, Luca Saba, Mostafa Fatemi, Jasjit S. Suri

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UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligen... by Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu

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Progression of atherosclerosis with carnitine supplementation: a randomized controlled trial in the metabolic syndrome by Amer M. Johri, Marie-France Hétu, Daren K. Heyland, Julia E. Herr, Jennifer Korol, Shawna Froese, Patrick A. Norman, Andrew G. Day, Murray F. Matangi, Erin D. Michos, Stephen A. LaHaye, Fraser W. Saunders, J. David Spence

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A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review by Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios D. Protogerou, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Kosmas I. Paraskevas, Luca Saba

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A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinica... by Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, Amer M. Johri, Laura Mantella, John R. Laird, Kosmas I. Paraskevas, Zoltan Ruzsa, Manudeep K. Kalra, Jose Fernandes E. Fernandes, Seemant Chaturvedi, Andrew Nicolaides, Vijay Rathore, Narpinder Singh, Mostafa M. Fouda, Esma R. Isenovic, Mustafa Al-Maini, Vijay Viswanathan, Jasjit S. Suri

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Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment by Narendra N. Khanna, Mahesh A. Maindarkar, Vijay Viswanathan, Jose Fernandes E Fernandes, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltan Ruzsa, Aditya Sharma, Raghu Kolluri, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Luca Saba, Vikas Agarwal, Aman Sharma, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, Lopamudra Mohanty, David W. Sobel, Martin Miner, Klaudija Viskovic, George Tsoulfas, Athanasios D. Protogerou, George D. Kitas, Mostafa M. Fouda, Seemant Chaturvedi, Mannudeep K. Kalra, Jasjit S. Suri

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Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review by Smiksha Munjral, Puneet Ahluwalia, Ankush D. Jamthikar, Anudeep Puvvula, Luca Saba, Gavino Faa, Inder M Singh, Paramjit S. Chadha, Monika Turk, Amer M. Johri, Narendra N Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P Sfikakis, George Tsoulfas, Athanasios Protogerou, Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Vijay Viswanathan, P K Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Jasjit S. Suri

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Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography by Jasjit S. Suri, Sushant Agarwal, Pranav Elavarthi, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, Suneet K. Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu, Mannudeep K. Kalra

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