Operationalizing Artificial Intelligence: Lessons Learned at Dana-Farber Cancer Institute
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Operationalizing Artificial Intelligence - Lessons Learned at Dana-Farber Cancer Institute.pdf
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208.97 KB
Format
Adobe PDF
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Author(s)
Methot, John
Antell, Gregory
Umeton, Renato
Date Issued
November 14, 2020
Publisher
American Medical Informatics Association
Citation
Methot, John, Antell, Gregory and Umeton, Renato. 2020. "Operationalizing Artificial Intelligence: Lessons Learned at Dana-Farber Cancer Institute."
Version
Final published version
Abstract
Few AI applications in oncology have progressed to production or clinical use. This translational hurdle has two
main components: static or limited training data; and the absence of a production environment into which models
may be deployed. Dana-Farber's Platform for Operationalized Data Science aims to remove these impediments to
enable development and deployment of AI in a healthcare setting at scale.
Description
Proceedings of AMIA 2020, American Medical Informatics Association Annual Symposium, USA, November 14-18, 2020
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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