A combined imaging–clinical risk prediction model with the use of deep learning seems a promising approach for predicting sudden cardiac death in patients with ischemic cardiomyopathies. Deep-learning-guided clinical trials will be needed to translate this model into clinical practice.
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References
Di Marco, A. et al. JACC Heart Fail. 5, 28–38 (2017).
Ommen, S. R. et al. Circulation 142, e533–e557 (2020).
Al-Khatib, S. M. et al. Heart Rhythm. 15, e190–e252 (2018).
Krittanawong, C. et al. Eur. Heart J. 40, 2058–2073 (2019).
Popescu et al. Nat. Cardiovasc. Res. https://doi.org/10.1038/s44161-022-00041-9 (2022).
Soroush, N. et al. Eur. Heart J. 41, ehaa946 (2020). 3394.
Pepe, M. S., Fan, J. & Seymour, C. W. Acad. Radiol. 20, 863–873 (2013).
Yancy, C. W. et al. Circulation 134, e282–93 (2016).
Maron, D. J. et al. N. Engl. J. Med. 382, 1395–1407 (2020).
Rodrigues, P. et al. Circ. Cardiovasc. Imaging 10, e006709 (2017).
Maliamanis, T. P. et al. in Machine Learning, Big Data, and IoT for Medical Informatics 1st edn (eds. Kumar, P. et al.) 53–70 (Elsevier, 2021).
Ferreira, P. F. et al. J. Cardiovasc. Magn. Reson. 15, 41 (2013).
Nieradzik, L. et al. Preprint at arXiv https://doi.org/10.48550/arXiv.2109.00903 (2022).
Keras. https://keras.io/api/optimizers/ (accessed 17 February 2022).
Bozkurt, B. et al. J. Card. Fail. S1071–S9164 (2021).
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Krittanawong, C. The next step in deep learning-guided clinical trials. Nat Cardiovasc Res 1, 286–288 (2022). https://doi.org/10.1038/s44161-022-00044-6
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DOI: https://doi.org/10.1038/s44161-022-00044-6