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Academic Publication Bias recognition and mitigation strategies in artificial intelligence healthcare applications
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Addressing AI Algorithmic Bias in Health Care
This Viewpoint discusses the bias that exists in artificial intelligence (AI) algorithms used in health care despite recent federal rules to prohibit discriminatory outcomes from AI and recommends ...
Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities
Artificial intelligence (AI) has emerged as a powerful tool in healthcare significantly impacting practices from diagnostics to treatment delivery and patient management. This article examines the ...
Edge Computing in Healthcare: Innovations, Opportunities, and Challenges
Edge computing promising a vision of processing data close to its generation point, reducing latency and bandwidth usage compared with traditional cloud computing architectures, has attracted signi...
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
This article provides a comprehensive survey of bias mitigation methods for achieving fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning bias mitigation for...
Impact of AI and big data analytics on healthcare outcomes: An empirical study in Jordanian healthcare institutions
Artificial intelligence (AI) and big data analytics are transforming healthcare globally and in Jordan. This study investigates the effects of AI and big data analytics on healthcare outcomes in Jo...
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What other academic literature is closely related to 'Bias recognition and mitigation strategies in artificial intelligence healthcare applications'?
Yes, highly correlated activity was mapped. An entry titled 'Addressing AI Algorithmic Bias in Health Care' discusses this: This Viewpoint discusses the bias that exists in artificial intelligence (AI) algorithms used in health care despite recent federal rules to prohib...
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