| |  Online-Ressource |
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| Verfasst von: | Baeßler, Bettina [VerfasserIn]  |
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| | Engelhardt, Sandy [VerfasserIn] |
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| | Hekalo, Amar [VerfasserIn] |
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| | Hennemuth, Anja [VerfasserIn] |
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| | Hüllebrand, Markus [VerfasserIn] |
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| | Laube, Ann [VerfasserIn] |
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| | Scherer, Clemens [VerfasserIn] |
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| | Tölle, Malte [VerfasserIn] |
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| | Wech, Tobias [VerfasserIn] |
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| Titel: | Perfect match |
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| Titelzusatz: | radiomics and artificial intelligence in cardiac imaging |
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| Verf.angabe: | Bettina Baeßler, Sandy Engelhardt, Amar Hekalo, Anja Hennemuth, Markus Hüllebrand, Ann Laube, Clemens Scherer, Malte Tölle, Tobias Wech |
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| E-Jahr: | 2024 |
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| Jahr: | June 2024 |
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| Umfang: | ? |
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| Fussnoten: | Online veröffentlicht: 18. Juni 2024 ; Gesehen am 29.11.2024 |
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| Titel Quelle: | Enthalten in: Circulation. Cardiovascular imaging |
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| Ort Quelle: | Philadelphia, Pa. : Lippincott, Williams & Wilkins, 2008 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 17(2024), 6 vom: Juni, Artikel-ID e015490, Seite ? |
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| ISSN Quelle: | 1942-0080 |
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| Abstract: | Cardiovascular diseases remain a significant health burden, with imaging modalities like echocardiography, cardiac computed tomography, and cardiac magnetic resonance imaging playing a crucial role in diagnosis and prognosis. However, the inherent heterogeneity of these diseases poses challenges, necessitating advanced analytical methods like radiomics and artificial intelligence. Radiomics extracts quantitative features from medical images, capturing intricate patterns and subtle variations that may elude visual inspection. Artificial intelligence techniques, including deep learning, can analyze these features to generate knowledge, define novel imaging biomarkers, and support diagnostic decision-making and outcome prediction. Radiomics and artificial intelligence thus hold promise for significantly enhancing diagnostic and prognostic capabilities in cardiac imaging, paving the way for more personalized and effective patient care. This review explores the synergies between radiomics and artificial intelligence in cardiac imaging, following the radiomics workflow and introducing concepts from both domains. Potential clinical applications, challenges, and limitations are discussed, along with solutions to overcome them. |
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| DOI: | doi:10.1161/CIRCIMAGING.123.015490 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1161/CIRCIMAGING.123.015490 |
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| | Volltext: https://www.ahajournals.org/doi/10.1161/CIRCIMAGING.123.015490 |
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| | DOI: https://doi.org/10.1161/CIRCIMAGING.123.015490 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| K10plus-PPN: | 1909897426 |
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| Verknüpfungen: | → Zeitschrift |
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