Abstract
Zusammenfassung. Künstliche Intelligenz (KI) ist in aller Munde. Aus unserem Alltagsleben ist sie schon längst nicht mehr wegzudenken und hat sich dort an vielen Stellen bereits nahtlos integriert, ohne dass wir uns dessen immer vollständig bewusst sind. Auch im Gesundheitswesen befinden wir uns schon längt inmitten einer Revolution, die unser aller Alltag in der Zukunft verändern wird. Die Radiologie im Speziellen ist aufgrund ihrer fortgeschrittenen Digitalisierung und historisch bedingten Technik-Affinität besonders von diesen Entwicklungen betroffen. Doch was ist KI eigentlich genau und was macht KI so potent, dass etablierte Fachdisziplinen wie die Radiologie sich mit ihrer Zukunftsfähigkeit auseinandersetzen? Was kann KI in der Radiologie heute schon – und was kann sie nicht? Mit diesen Fragen beschäftigt sich der vorliegende Artikel.
Abstract. Artificial Intelligence (AI) is omnipresent. It has neatly permeated our daily life, even if we are not always fully aware of its ubiquitous presence. The healthcare sector in particular is experiencing a revolution which will change our daily routine considerably in the near future. Due to its advanced digitization and its historical technical affinity radiology is especially prone to these developments. But what exactly is AI and what makes AI so potent that established medical disciplines such as radiology worry about their future job perspectives? What are the assets of AI in radiology today – and what are the major challenges? This review article tries to give some answers to these questions.
Résumé. L’intelligence artificielle (IA) est sur toutes les lèvres. Elle fait depuis longtemps partie intégrante de notre vie quotidienne et s’est déjà intégrée sans heurts en de nombreux endroits, sans que nous en ayons toujours pleinement conscience. Ainsi, dans le secteur de la santé, nous sommes déjà au milieu d’une révolution qui changera notre vie quotidienne à l’avenir. La radiologie en particulier est touchée par ces développements en raison de sa numérisation avancée et son affinité historique pour la technologie. Mais qu’est-ce que l’IA exactement et qu’est-ce qui la rend si puissante que des disciplines établies comme la radiologie doivent se préoccuper de sa viabilité future? Qu’est-ce que l’IA peut déjà faire ou ne pas faire en radiologie aujourd’hui? Cet article traite de ces questions.
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