Bias Mitigation via Synthetic Data Generation: A Review

Artificial intelligence (AI) is widely used in healthcare applications to perform various tasks. Although these models have great potential to improve the healthcare system, they have also raised significant ethical concerns, including biases that increase the risk of health disparities in medical a...

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Veröffentlicht in:	Electronics (Basel) 2024-10, Vol.13 (19), p.3909
Hauptverfasser:	Shahul Hameed, Mohamed Ashik, Qureshi, Asifa Mehmood, Kaushik, Abhishek
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Bias Continuous improvement Criteria Datasets Deep learning Digital libraries Health aspects Health care Health care reform Hypotheses Inclusion Machine learning Privacy Synthetic data
Online-Zugang:	Volltext
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