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Reply to: “Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings”

  • Martina Sollini
  • Margarita KirienkoEmail author
Reply
  • 314 Downloads
Part of the following topical collections:
  1. Advanced Image Analyses (Radiomics and Artificial Intelligence)

Keywords

Radiomics Artificial intelligence Image mining Phase classification Trial phases 

Notes

Author contributions

MS and MK conceptualized and approved the manuscript.

Funding information

MK PhD scholarship was funded by the AIRC grant (IG-2016-18585).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical statement

In view of the nature of the present article an ethical approval was considered unnecessary.

Reference

  1. 1.
    Sollini M, Antunovic L, Chiti A, Kirienko M. Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics. Eur J Nucl Med Mol Imaging. 2019.  https://doi.org/10.1007/s00259-019-04372-x.
  2. 2.
    Zhou Q, Cao Y, Chen Z. Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings. Eur J Nucl Med Mol Imaging (2019).Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Nuclear Medicine, Humanitas Clinical and Research Center - IRCCSRozzanoItaly
  2. 2.Department of Biomedical SciencesHumanitas UniversityPieve EmanueleItaly

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