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International Journal of Bioprinting Deep learning-based 3D digital model of fetal heart

Consent for publication doi: 10.1136/bmjopen-2017-016891
Prior to participation, all subjects provided written 9. Hosny A, Dilley JD, Kelil T, et al. Pre-procedural fit-testing
informed consent. The study adhered to strict of TAVR valves using parametric modeling and 3D printing.
confidentiality and data protection measures to ensure the J Cardiovasc Comput Tomogr. 2019;13(1):21-30.
doi: 10.1016/j.jcct.2018.09.007
privacy of participants. No additional ethical concerns or
conflicts of interest were identified during the research. 10. Costello JP, Olivieri LJ, Su L, et al. Incorporating three-
dimensional printing into a simulation-based congenital
Availability of data heart disease and critical care training curriculum for
resident physicians. Congenit Heart Dis. 2015;10(2):185-90.
The clinical imaging data used in this study are restricted doi: 10.1111/chd.12238
by ethical data protection permissions and are not available 11. Ng WL, Goh GL, Goh GD, Ten JSJ, Yeong WY. Progress
for distribution. and opportunities for machine learning in materials
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