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Anwendungen von künstlicher Intelligenz in der diagnostischen kardialen Bildanalyse

Utilization of artificial intelligence in diagnostic cardiac imaging analysis

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Der Kardiologe Aims and scope

Zusammenfassung

Klinisch verfügbare KI(künstliche Intelligenz)-basierte Lösungen dienen der Prozessoptimierung und der Objektivierung bildbasierter Quantifizierung für die kardiale Diagnostik. Damit eröffnet sich eine breitere Anwendung der heutigen Hochleistungsmedizin auch außerhalb von universitären Zentren. In dieser Übersichtsarbeit wird über die Praxisrelevanz sowie die Anwendung der KI in der Bildvorverarbeitung und -segmentierung, der Diagnostik, des Phenotypings für die klinische Entscheidungsunterstützung sowie über den heutigen Stand des Datenschutzes und der interdisziplinären Zusammenarbeit berichtet. Die Weiterentwicklung hochqualitativer KI-basierter Lösungen unter Berücksichtigung aktueller Datenschutzvorgaben erfordert eine multidisziplinäre Zusammenarbeit und den Aufbau geeigneter Forschungsinfrastrukturen. KI-Anwendungen in der diagnostischen kardialen Bildanalyse ohne klinische Daten der Patienten und die letztendlich entscheidende kardiologische Expertise erscheinen für eine valide Befundung und damit Therapieentscheidung bei kardiologischen Patienten nicht sinnvoll.

Abstract

Clinically available artificial intelligence (AI)-based solutions serve to optimize processes and objectify image-based quantification for cardiac diagnostics. This opens up a broader application of today’s high-performance medicine also outside university centers. This overview article reports on the practical relevance and the application of AI in image preprocessing and segmentation, the diagnostics, phenotyping, clinical decision support and on the current status of data protection and interdisciplinary cooperation. The further development of high-quality AI-based solutions, taking current data protection regulations into account, requires multidisciplinary cooperation and the development of suitable research infrastructures. The applications of AI in diagnostic cardiac image analysis without clinical patient data and without the ultimately decisive cardiologic expertise do not appear to make sense for a valid diagnosis and thus treatment decision in cardiologic patients.

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Finanzierung

Diese Arbeit wurde teilweise von der Deutschen Forschungsgemeinschaft (DFG) finanziert – SFB-1470 – B06.

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Authors and Affiliations

  1. Klinik für Innere Medizin/Kardiologie, Deutsches Herzzentrum Berlin, Berlin, Deutschland

    Patrick Doeblin & Sebastian Kelle

  2. Charité – Universitätsmedizin Berlin, Berlin, Deutschland

    Anja Hennemuth, Markus Hüllebrand, Patrick Doeblin, Nina Krüger & Sebastian Kelle

  3. Fraunhofer Institut für Digitale Medizin – MEVIS, Berlin, Deutschland

    Anja Hennemuth & Markus Hüllebrand

  4. Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg-Eppendorf, Hamburg-Eppendorf, Deutschland

    Anja Hennemuth

  5. Standort Berlin, DZHK (Deutsches Zentrum für Herz-Kreislauf-Forschung), Berlin, Deutschland

    Anja Hennemuth, Patrick Doeblin & Sebastian Kelle

Authors
  1. Anja Hennemuth
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  2. Markus Hüllebrand
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  3. Patrick Doeblin
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  4. Nina Krüger
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  5. Sebastian Kelle
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Corresponding author

Correspondence to Anja Hennemuth.

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Interessenkonflikt

A. Hennemuth, M. Hüllebrand, P. Doeblin, N. Krüger und S. Kelle geben an, dass kein Interessenkonflikt besteht.

Für diesen Beitrag wurden von den Autoren keine Studien an Menschen oder Tieren durchgeführt. Für die aufgeführten Studien gelten die jeweils dort angegebenen ethischen Richtlinien.

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Hennemuth, A., Hüllebrand, M., Doeblin, P. et al. Anwendungen von künstlicher Intelligenz in der diagnostischen kardialen Bildanalyse. Kardiologe 16, 72–81 (2022). https://doi.org/10.1007/s12181-022-00548-2

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