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Hu et al., 2024 - Google Patents

Enhancing fairness in AI-enabled medical systems with the attribute neutral framework

Hu et al., 2024

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Document ID
12750393677638129700
Author
Hu L
Li D
Liu H
Chen X
Gao Y
Huang S
Peng X
Zhang X
Bai X
Yang H
Kong L
Tang J
Lu P
Xiong C
Liang H
Publication year
Publication venue
Nature Communications

External Links

Snippet

Questions of unfairness and inequity pose critical challenges to the successful deployment of artificial intelligence (AI) in healthcare settings. In AI models, unequal performance across protected groups may be partially attributable to the learning of spurious or otherwise …
Continue reading at www.nature.com (HTML) (other versions)

Classifications

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    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes

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