Tumor microenvironment and the role of artificial intelligence in breast cancer detection and prognosis

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dc.contributor.author Malherbe, Kathryn
dc.date.accessioned 2022-02-08T07:05:17Z
dc.date.issued 2021-08
dc.description.abstract A critical knowledge gap has been noted in breast cancer detection, prognosis, and evaluation between tumor microenvironment and associated neoplasm. Artificial intelligence (AI) has multiple subsets or methods for data extraction and evaluation, including artificial neural networking, which allows computational foundations, similar to neurons, to make connections and new neural pathways during data set training. Deep machine learning and AI hold great potential to accurately assess tumor microenvironment models employing vast data management techniques. Despite the significant potential AI holds, there is still much debate surrounding the appropriate and ethical curation of medical data from picture archiving and communication systems. AI output's clinical significance depends on its human predecessor's data training sets. Integration between biomarkers, risk factors, and imaging data will allow the best predictor models for patient-based outcomes. en_ZA
dc.description.department Radiography en_ZA
dc.description.embargo 2022-08-01
dc.description.librarian hj2022 en_ZA
dc.description.uri https://ajp.amjpathol.org en_ZA
dc.identifier.citation Malherbe, K. 2021, 'Tumor microenvironment and the role of artificial intelligence in breast cancer detection and prognosis', American Journal of Pathology, vol. 191, no. 8, pp. 1364-1373. en_ZA
dc.identifier.issn 0002-9440 (print)
dc.identifier.issn 1525-2191 (online)
dc.identifier.other 10.1016/j.ajpath.2021.01.014
dc.identifier.uri http://hdl.handle.net/2263/83663
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights ©2021 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in American Journal of Pathology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in American Journal of Pathology, vol. 191, no. 8, pp. 1364-1373, 2021. doi : 10.1016/j.ajpath.2021.01.014. en_ZA
dc.subject Breast cancer en_ZA
dc.subject Detection en_ZA
dc.subject Prognosis en_ZA
dc.subject Tumor microenvironment (TME) en_ZA
dc.subject Artificial intelligence (AI) en_ZA
dc.subject Extracellular matrix (ECM) en_ZA
dc.subject Immune cells en_ZA
dc.title Tumor microenvironment and the role of artificial intelligence in breast cancer detection and prognosis en_ZA
dc.type Postprint Article en_ZA


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