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Künstliche Intelligenz in der pränatalen kardialen Diagnostik

Artificial intelligence in prenatal cardiac diagnostics

Der Gynäkologe volume 55, pages 22–31 (2022)Cite this article

Zusammenfassung

Die pränatale Detektionsrate von fetalen Herzfehlern ist trotz Auflage nationaler und internationaler Screeningprogramme niedrig geblieben. Die Entdeckungsraten im Niedrigrisikokollektiv reichen von 22,5–52,8 %. Erfolgversprechende Ansätze hin zu verbesserten Detektionsraten könnten automatisierte Anwendungen der künstlichen Intelligenz (KI) darstellen. Bezug nehmend auf neuartige und bereits etablierte KI-Lösungen aus der Erwachsenenkardiologie sollen in dieser Übersicht die Möglichkeiten und Limitierungen von KI-Algorithmen für die fetale Echokardiographie diskutiert werden.

Abstract

The prenatal detection rates of fetal heart defects have remained low despite the implementation of national and international screening programs. The detection rates in the low-risk population range from 22.5% to 52.8%. Promising approaches for improved detection rates could include automated applications of artificial intelligence (AI). With reference to novel and already established AI solutions from adult cardiology, this review discusses the possibilities and limitations of AI algorithms for fetal echocardiography.

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Authors and Affiliations

  1. Bereich Pränatalmedizin und Spezielle Geburtshilfe, Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland

    Jan Weichert, Amrei Welp, Jann Lennard Scharf, Christoph Dracopoulos, Achim Rody & Michael Gembicki

  2. Zentrum für Pränatalmedizin an der Elbe, Hamburg, Deutschland

    Jan Weichert

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  1. Jan Weichert
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  2. Amrei Welp
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Correspondence to Jan Weichert.

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Interessenkonflikt

J. Weichert und M. Gembicki haben Vortragshonorare von Samsung HME erhalten. A. Welp, J.L. Scharf, C. Dracopoulos und A. Rody 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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Jan Weichert, Lübeck

Ulrich Gembruch, Bonn

Klaus Diedrich, Lübeck

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Weichert, J., Welp, A., Scharf, J.L. et al. Künstliche Intelligenz in der pränatalen kardialen Diagnostik. Gynäkologe 55, 22–31 (2022). https://doi.org/10.1007/s00129-021-04890-6

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  • DOI: https://doi.org/10.1007/s00129-021-04890-6

Schlüsselwörter

  • Echokardiographie
  • Ultraschall
  • Risikoschwangerschaft
  • Kardiovaskuläre Erkrankungen
  • Interobservervariabilität

Keywords

  • Echocardiography
  • Ultrasound
  • Pregnancy, high-risk
  • Cardiovascular diseases
  • Interobserver variability