Hu et al., 2024 - Google Patents
Enhancing fairness in AI-enabled medical systems with the attribute neutral frameworkHu et al., 2024
View HTML- 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 …
- 230000007935 neutral effect 0 title abstract description 14
Classifications
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- 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
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