Künstliche Intelligenz in der kardiovaskulären Radiologie
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00117-024-01335-8.pdf
Reference30 articles.
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3. Böttcher B, Beller E, Busse A et al (2020) Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm. Int J Cardiovasc Imaging 36(11):2239–2247
4. Cheikh AB, Gorincour G, Nivet H et al (2022) How artificial intelligence improves radiological interpretation in suspected pulmonary embolism. Eur Radiol 32(9):5831–5842
5. Coenen A, Kim Y‑H, Kruk M et al (2018) Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium. Circ Cardiovasc Imaging 11(6):e7217
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