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Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence

Profound advances in computational methods, including artificial intelligence (AI), present the opportunity to use the exponentially growing volume and complexity of available cancer measurements toward data-driven personalized care. While exciting, this opportunity has highlighted the disconnect be...

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Detalles Bibliográficos
Autores principales: Chung, Caroline, Jaffray, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306309/
https://www.ncbi.nlm.nih.gov/pubmed/34853038
http://dx.doi.org/10.1158/0008-5472.CAN-21-1929
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author Chung, Caroline
Jaffray, David A.
author_facet Chung, Caroline
Jaffray, David A.
author_sort Chung, Caroline
collection PubMed
description Profound advances in computational methods, including artificial intelligence (AI), present the opportunity to use the exponentially growing volume and complexity of available cancer measurements toward data-driven personalized care. While exciting, this opportunity has highlighted the disconnect between the promise of compute and the supply of high-quality data. The current paradigm of ad-hoc aggregation and curation of data needs to be replaced with a “metadata supply chain” that provides robust data in context with known provenance, that is, lineage and comprehensive data governance that will allow the promise of AI technology to be realized to its full potential in clinical practice.
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spelling pubmed-93063092023-01-05 Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence Chung, Caroline Jaffray, David A. Cancer Res Controversy and Consensus Profound advances in computational methods, including artificial intelligence (AI), present the opportunity to use the exponentially growing volume and complexity of available cancer measurements toward data-driven personalized care. While exciting, this opportunity has highlighted the disconnect between the promise of compute and the supply of high-quality data. The current paradigm of ad-hoc aggregation and curation of data needs to be replaced with a “metadata supply chain” that provides robust data in context with known provenance, that is, lineage and comprehensive data governance that will allow the promise of AI technology to be realized to its full potential in clinical practice. American Association for Cancer Research 2021-12-01 2021-12-01 /pmc/articles/PMC9306309/ /pubmed/34853038 http://dx.doi.org/10.1158/0008-5472.CAN-21-1929 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs International 4.0 License.
spellingShingle Controversy and Consensus
Chung, Caroline
Jaffray, David A.
Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence
title Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence
title_full Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence
title_fullStr Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence
title_full_unstemmed Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence
title_short Cancer Needs a Robust “Metadata Supply Chain” to Realize the Promise of Artificial Intelligence
title_sort cancer needs a robust “metadata supply chain” to realize the promise of artificial intelligence
topic Controversy and Consensus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306309/
https://www.ncbi.nlm.nih.gov/pubmed/34853038
http://dx.doi.org/10.1158/0008-5472.CAN-21-1929
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