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

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.