Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
June 2024
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| In: |
The lancet. Digital health
Year: 2024, Volume: 6, Issue: 6, Pages: e407-e417 |
| ISSN: | 2589-7500 |
| DOI: | 10.1016/S2589-7500(24)00063-3 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/S2589-7500(24)00063-3 Verlag, lizenzpflichtig, Volltext: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00063-3/fulltext 
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| Author Notes: | 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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