Reply to Letter to the Editor on "Not all biases are bad: equitable and inequitable biases in machine learning and radiology". | Insights Imaging;12(1): 157, 2021 Nov 03. | MEDLINE

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Reply to Letter to the Editor on "Not all biases are bad: equitable and inequitable biases in machine learning and radiology".

Pot, Mirjam; Prainsack, Barbara.

Pot M; Department of Political Science, University of Vienna, Vienna, Austria. mirjam.pot@univie.ac.at.
Prainsack B; Department of Political Science, University of Vienna, Vienna, Austria.

Insights Imaging ; 12(1): 157, 2021 Nov 03.

Article in English | MEDLINE | ID: covidwho-1502015

Keywords

Artificial intelligence; Bias; Inequity

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Insights Imaging Year: 2021 Document Type: Article Affiliation country: S13244-021-01088-1

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Insights Imaging Year: 2021 Document Type: Article Affiliation country: S13244-021-01088-1