The radiologist and data: Do we add value or is data just data?

Journal: Clinical imaging
Published Date: Apr 10, 2025

Abstract

Artificial intelligence in radiology critically depends on vast amounts of quality data, and there are controversies surrounding the topic of data ownership. In the current clinical framework, the secondary use of clinical data should be treated as a form of public good to benefit future patients. In this article, we propose that the physicians' input in data curation and interpretation adds value to the data and is crucial for building clinically relevant artificial intelligence models.

Authors

  • Elliot K Fishman
    The Russell H. Morgan Department of Radiology and Radiologic Science, Johns Hopkins School of Medicine, Baltimore, Maryland. Electronic address: efishman@jhmi.edu.
  • Philippe Soyer
    Department of Radiology, Hôpital Cochin-APHP, 27 Rue du Faubourg Saint-Jacques, Paris 75014, France.
  • David B Hellmann
    Department of Medicine, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Baltimore, MD 21224, United States of America.
  • Linda C Chu
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: lindachu@jhmi.edu.

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