Abstract
Congenital heart disease (CHD) affects around 1 in every 100 babies. Cardiovascular imaging has enabled significant advances in the management of CHD; however, it has multiple challenges in this population. Acquisition of imaging data is particularly challenging in the paediatric population, as it can be time-consuming and requires patient cooperation. Post-processing and analysis of images from CHD are often difficult and performed manually; hence, it is time-consuming and requires expert users. In addition, diagnosis and outcome predictions are based on complex models. Recently, a wide range of applications for artificial intelligence (AI) have been developed to tackle these challenges, demonstrating great potential. In this chapter, we review the current literature in applying AI in imaging for patients with CHD and discuss current barriers to translation of these technologies.
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Steeden, J.A., Muthurangu, V., Secinaro, A. (2022). Artificial Intelligence-Based Evaluation of Congenital Heart Disease. In: De Cecco, C.N., van Assen, M., Leiner, T. (eds) Artificial Intelligence in Cardiothoracic Imaging. Contemporary Medical Imaging. Humana, Cham. https://doi.org/10.1007/978-3-030-92087-6_36
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