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Cancer Needs a Robust "Metadata Supply Chain" to Realize the Promise of Artificial Intelligence
Caroline Chung1, David A Jaffray2
1The University of Texas MD Anderson Cancer Center, Houston, Texas. cchung3@mdanderson.org.
Abstract:
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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