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

Journal: European radiology
Published Date:

Abstract

• 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.

Authors

  • Renato Cuocolo
    Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Massimo Imbriaco
    Department of Advanced Biomedical Sciences, University of Naples "Federico II," Via Pansini 5, 80131 Naples, Italy.