Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data

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SEEK ID: https://publications.h-its.org/publications/1989

DOI: 10.1016/S2589-7500(24)00063-3

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: The Lancet Digital Health

Citation: The Lancet Digital Health 6(6):e407-e417

Date Published: 1st Jun 2024

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Registered Mode: by DOI

Authors: David Hermann Lehmann, Bruna Gomes, Niklas Vetter, Olivia Braun, Ali Amr, Thomas Hilbel, Jens Müller, Ulrich Köthe, Christoph Reich, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Manuela Meder, Jan Haas, Euan Ashley, Wolfgang Rottbauer, Dominik Felbel, Raffi Bekeredjian, Heiko Mahrholdt, Andreas Keller, Peter Ong, Andreas Seitz, Hauke Hund, Nicolas Geis, Florian André, Sandy Engelhardt, Hugo A Katus, Norbert Frey, Vincent Heuveline, Benjamin Meder

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Marcus Buchwald

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Lehmann, D. H., Gomes, B., Vetter, N., Braun, O., Amr, A., Hilbel, T., Müller, J., Köthe, U., Reich, C., Kayvanpour, E., Sedaghat-Hamedani, F., Meder, M., Haas, J., Ashley, E., Rottbauer, W., Felbel, D., Bekeredjian, R., Mahrholdt, H., Keller, A., … Meder, B. (2024). Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data. In The Lancet Digital Health (Vol. 6, Issue 6, pp. e407–e417). Elsevier BV. https://doi.org/10.1016/s2589-7500(24)00063-3

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Created: 30th Jan 2025 at 12:28

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Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data

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