Nutzung von künstlicher Intelligenz zur Bekämpfung der COVID-19-Pandemie

COVID-19 hat viele Gesundheitssysteme völlig unvorbereitet getroffen. Insbesondere in der Frühphase der Pandemie herrschte großer Druck, trotz fehlenden Wissens über die neue Erkrankung die Lage wieder in den Griff zu bekommen. In dieser Situation wollten Forscher weltweit mithelfen, die Pandemie durch Nutzung künstlicher Intelligenz zu bewältigen. Welche Ansätze man verfolgt hat und welche erfolgreich waren, stellt dieser Artikel dar.

Abstract

The COVID-19 pandemic is a global health emergency of historic dimension. In this situation, researchers worldwide wanted to help manage the pandemic by using artificial intelligence (AI). This narrative review aims to describe the usage of AI in the combat against COVID-19. The addressed aspects encompass AI algorithms for analysis of thoracic X-rays or CTs, prediction models for severity and outcome of the disease, AI applications in development of new drugs and vaccines as well as forecasting models for spread of the virus. The review shows, which approaches were pursued, and which were successful.

Kernaussagen

• Viele KI-Anwendungen zur Bekämpfung der Pandemie werden durch einen Mangel an Daten in ausreichender Menge und Qualität beeinträchtigt.

• KI-Algorithmen sind bereits jetzt in der Lage, COVID-19 in Röntgenbildern oder CTs mit 90%iger Genauigkeit zu erkennen.

• KI-Modelle können dabei helfen, Risikofaktoren für schwere Verläufe zu identifizieren und den Krankheitsverlauf präzise vorherzusagen, wenn ihre Datenbasis dazu ausreichend groß ist.

• Durch die Nutzung von KI-Modellen kann die Entwicklung neuer medikamentöser Wirkstoffe dramatisch beschleunigt werden.

• Die ersten Warnungen vor dem Ausbruch einer bisher nicht bekannten Lungenerkrankung in China stammten von 2 KI-basierten Systemen.

• Mithilfe KI-basierter Modelle kann die Entwicklung einer Fallzahl und der Behandlungskapazitäten regional präzise vorhergesagt werden.

Schlüsselwörter

COVID-19 - künstliche Intelligenz - maschinelles Lernen - Verlaufsvorhersage - Medikamentenentwicklung

Keywords

COVID-19 - artificial intelligence - machine learning - disease prediction - drug discovery

Publication History

Article published online:
23 March 2022

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