The radiologist and data: Do we add value or is data just data?
Authors
Fishman EK,Soyer P,Hellmann DB,Chu LC
Affiliations (4)
Affiliations (4)
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, United States of America.
- Université Paris Cité, Faculté de Médicine, 75006 Paris, France; Department of Radiology, Hôpital Cochin, APHP, 75014 Paris, France.
- Department of Medicine, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Baltimore, MD 21224, United States of America.
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, United States of America. Electronic address: [email protected].
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.
Topics
Artificial IntelligenceRadiologistsRadiologyJournal Article