Artificial intelligence in the prenatal detection of heart diseases
Pregnant women are advised to take a fetal screening ultrasound during the second trimester to help diagnose congenital heart disease. However, interpreting the thousands of image frames is still complex, making the fetal diagnosis a challenge. This episode presents two studies that exemplify the use of artificial intelligence (AI) in cardiology, detecting congenital heart disease using imaging approaches during the prenatal period.
- Arnaout R, Curran L, Zhao Y, Levine JC, Chinn E, Moon-Grady AJ. An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease. Nat Med. [Internet]. 2021. (Accessed on May 31, 2022); 27(5):882–891. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380434/ Author manuscript; available in PMC 2021 August 2.
- Rizzo G, Pietrolucci ME, Capponi A, Mappa I. Exploring the role of artificial intelligence in the study of fetal heart. Int J Cardiovasc Imaging. [Internet]. 2021. (Accessed on May 31, 2022);38:1017–1019. Available at: https://doi.org/10.1007/s10554-022-02588-x
- Truong VT, Nguyen BP, Nguyen-Vo TH. Application of machine learning in screening for congenital heart diseases using fetal echocardiography. Int J Cardiovasc Imaging. [Internet]. 2021. (Accessed on May 31, 2022);38:1007–1015. Available at: 3. https://doi.org/10.1007/s10554-022-02566-3