Zugriffsnummer 49253
Dokumenttyp Konferenzartikel Freier Zugang
Peer Review unbekannt
Sprache Englisch
Titel Digital testing platform for artificial intelligence: A modular and scalable concept
Autor(in); Institution
Liebl, Maik; 9.4, Metrologie für die digitale Transformation, PTB-Berlin
Hutzschenreuter, Daniel; 9.4, Metrologie für die digitale Transformation, PTB-Braunschweig
Kofler, Andreas; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Eichstädt, Sascha; 9.4, Metrologie für die digitale Transformation, PTB-Berlin
Härtig, Frank; Präsidium, VP, PTB-Braunschweig
Quelle/Jahr SMSI 2023 : A1 - Digital Transformation in the Quality Infrastructure:(2023), 31 - 32
ISBN 978-3-9819376-8-8 (online)
DOI
URL
Konferenzangaben Sensor and Measurement Science International (SMSI 2023), Nürnberg, 08-11, May, 2023, Germany
Freie Schlagworte Artificial Intelligence ; Digital platform for AI testing ; Medical AI applications
Zusammenfassung Artificial intelligence (AI) technologies in medicine require advanced testing approaches to assess and ensure the quality of applications. Here, we present a modular and scalable platform concept for quali-ty assessment of AI technologies to accomplish this in a fast automated and digital way. We describe the design and functionality of the platform and its application to AI-based image reconstruction in accelerated magnetic resonance imaging (MRI) as a use-case example.
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Zitierung

Liebl, M., Hutzschenreuter, D., Kofler, A., Kolbitsch, C., Eichstädt, S., & Härtig, F. (2023). Digital testing platform for artificial intelligence: A modular and scalable concept. Sensor and Measurement Science International (SMSI 2023), Nürnberg, 08-11, May, 2023, Germany. https://doi.org/10.5162/SMSI2023/A1.2

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