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Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers
24
Zitationen
10
Autoren
2021
Jahr
Abstract
Our review indicates that AI systems or AI-supported human readings show less performance variability (interquartile range) in general, and may support the differentiation of COVID-19 pneumonia from other forms of pneumonia when used in high-prevalence and symptomatic populations. However, inconsistencies related to study design, reporting of data, areas of risk of bias, as well as limitations of statistical analyses complicate clear conclusions. We therefore support efforts for developing critical elements of study design when assessing the value of AI for diagnostic imaging.
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