Cancer Needs a Robust "Metadata Supply Chain" to Realize the Promise of Artificial Intelligence
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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.
Continuous multimodal data supply chain and expandable clinical decision support for oncology.
Chang J, Kim H, Baek E, Choi J, Lim J, Kim J NPJ Digit Med. 2025; 8(1):128.
PMID: 40016534 PMC: 11868524. DOI: 10.1038/s41746-025-01508-2.
Chakrabarty S, Abidi S, Mousa M, Mokkarala M, Hren I, Yadav D JCO Clin Cancer Inform. 2023; 7:e2200177.
PMID: 37146265 PMC: 10281444. DOI: 10.1200/CCI.22.00177.