Unbiasing fairness evaluation of radiology AI model

Unbiasing fairness evaluation of radiology AI model

Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While many efforts aim to minimize model bias, this study suggests that traditional fairness evaluation methods may be biased, highlighting the need for a proper evaluation...

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Bibliographic Details
Main Authors: Yuxuan Liang, Hanqing Chao, Jiajin Zhang, Ge Wang, Pingkun Yan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-09-01
Series:Meta-Radiology
Subjects:
Fairness
Deep learning
Evaluation metrics
Data uncertainty
Medical imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2950162824000377

Internet

http://www.sciencedirect.com/science/article/pii/S2950162824000377

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