Congenital Heart Disease

Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis

Jinpu Zhu, Fushuang Yang, Yang Wang, Zhongtian Wang, Yao Xiao, Lie Wang, Liping Sun

J Med Internet Res 2024 (Nov 18); 26:e57641

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Touching Technology—Parents’ Experiences of Remote Consultations for Children With Severe Congenital Cardiac Conditions: Quasi-Experimental Cohort Study

Julie Elizabeth May McCullough, Marlene Sinclair, Jonathan Gillender, Brian McCrossan, Paul F Slater, Rosie Browne, Frank Casey

JMIR Pediatr Parent 2024 (Oct 22); 7:e54598

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Stepped-Care Web-Based Parent Support Following Congenital Heart Disease: Protocol for a Randomized Controlled Trial

Marin Taylor, Bianca Christina Bondi, Brendan F Andrade, Stephanie H Au-Young, Vann Chau, Ashley Danguecan, Naddley Désiré, Ting Guo, Dragana Ostojic-Aitkens, Shari Wade, Steven Miller, Tricia Samantha Williams

JMIR Res Protoc 2024 (Oct 04); 13:e64216

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Replicating Anatomical Teaching Specimens Using 3D Modeling Embedded Within a Multimodal e-Learning Course: Pre-Post Study Exploring the Impact on Medical Education During COVID-19

Chelsea Stunden, Sima Zakani, Avery Martin, Shreya Moodley, John Jacob

JMIR Med Educ 2021 (Nov 17); 7(4):e30533

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A Novel Virtual Reality Medical Image Display System for Group Discussions of Congenital Heart Disease: Development and Usability Testing

Byeol Kim, Yue-Hin Loke, Paige Mass, Matthew R Irwin, Conrad Capeland, Laura Olivieri, Axel Krieger

JMIR Cardio 2020 (Dec 08); 4(1):e20633

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