Operationalizing Artificial Intelligence: Lessons Learned at Dana-Farber Cancer Institute

Author(s)
Methot, John; Antell, Gregory; Umeton, Renato
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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
Date issued
2020-11-14
URI
https://hdl.handle.net/1721.1/159236
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
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