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Role of Machine Learning and Artificial Intelligence in Interventional Oncology

Published Online: 2021-04-20

Published Print: 2021-06

Authors

D’Amore, Brian

Smolinski-Zhao, Sara

Daye, Dania

Uppot, Raul N. https://orcid.org/0000-0001-6165-4911
License Information

Text and Data Mining valid from 2021-04-20

Version of Record valid from 2021-04-20
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Article History

Accepted: 11 March 2021

First Online: 20 April 2021

Declarations

:

: Brian D'Amore, Sara Smolinski-Zhao, and Dania Daye declare no conflict of interest. Raul N. Uppot is supported in part by an American College of Radiology Innovation Grant for the application of natural language processing and machine learning to create an automated registry for interventional oncology.

: This article does not contain any studies with human or animal subjects performed by any of the authors.

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