Machine learning solutions in radiology: does the emperor have no clothes?

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Abstract
Key Points • Interest in radiomics and machine learning is steadily increasing and is reflected both in research output and number of commercially available solutions. • Currently available commercial products using machine learning are often supported by limited evidence of clinical usefulness and studies are often of low methodological quality. • Ethical and regulatory issues remain open and hinder implementation of machine learning software packages in daily clinical practice.

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