Extract
Artificial intelligence (AI) presents an attractive opportunity for providing decision support to radiologists, who are often overburdened by the ever-increasing number of radiographs that are requested each year [1]. Interpretation errors, reporting delays and backlogs, particularly of chest radiographs (CXR), continue to be a major problem faced by busy radiology departments.
Abstract
Deep learning software can provide decision support to radiologists. New evidence shows that these tools are almost ready for implementation in clinical practice. https://bit.ly/3vk4h5t
Footnotes
Conflict of Interest: L. Calandriello declares honoraria from Boehringer Ingelheim and Roche.
Conflict of interest: S.L.F. Walsh declares a fellowship and honoraria from the National Institute for Health Research; consultancy fees and honoraria from Boehringer Ingelheim, Sanofi-Genzyme, Galapagos, Roche, Bracco, Fluidda, the Open Source Imaging Consortium, Oncoarendi Therapeutics and Medscape; and advisory board membership for Boehringer Ingelheim, Sanofi-Genzyme, Galapagos and Roche.
- Received March 1, 2021.
- Accepted March 2, 2021.
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