Künstliche Intelligenz in der Kinderpneumologie – Chancen und unbeantwortete Fragen

Zusammenfassung

Künstliche Intelligenz (KI) findet bereits Anwendung in den meisten medizinischen Disziplinen, so auch in der pädiatrischen Pneumologie. Diese Übersichtsarbeit beschreibt aktuelle Entwicklungen KI-gestützter Technologien und erörtert deren Potenzial für die Diagnostik und Behandlung von Lungenerkrankungen im Kindes- und Jugendalter. Das Spektrum reicht von Modellen zur Analyse von Atemgeräuschen, über die automatisierte Auswertung medizinischer Bildgebung bis hin zu Systemen zur Unterstützung klinischer Entscheidungen. Hierbei werden insbesondere auch Herausforderungen bei der Anpassung von KI für pädiatrische Bevölkerungsgruppen beschrieben. Schließlich werden offene Fragen, beispielsweise zur Implementierung KI-basierter Software in den klinischen Alltag erörtert.

Abstract

Artificial intelligence (AI) is already being used in most medical disciplines, including paediatric pneumology. This review describes current developments in AI-supported technologies and discusses their potential for the diagnosis and treatment of lung diseases in children and adolescents. The spectrum ranges from models for analysing respiratory sounds and the automated evaluation of medical imaging to systems for supporting clinical decisions. In particular, challenges in the adaptation of AI for paediatric populations are also described. Finally, open questions, such as the implementation of AI-based software in everyday clinical practice, will be discussed.

Schlüsselwörter

künstliche Intelligenz - Kinderpneumologie - Geräuscherkennung - maschinelles Lernen - Bildauswertung - Modellierung

Keywords

artificial intelligence - paediatric pulmonology - sound recognition - machine learning - image analysis - modellingArtikel online veröffentlicht 2025

Publikationsverlauf

Artikel online veröffentlicht:
03. Februar 2025

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