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Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare

Department of Health Management and Informatics, University of Central Florida, Orlando, FL 32816, USA
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Medicina 2020, 56(3), 141; https://doi.org/10.3390/medicina56030141
Received: 8 February 2020 / Revised: 8 March 2020 / Accepted: 12 March 2020 / Published: 20 March 2020
(This article belongs to the Special Issue Artificial Intelligence Research in Healthcare)
The objective of this article is to discuss the inherent bias involved with artificial intelligence-based decision support systems for healthcare. In this article, the authors describe some relevant work published in this area. A proposed overview of solutions is also presented. The authors believe that the information presented in this article will enhance the readers’ understanding of this inherent bias and add to the discussion on this topic. Finally, the authors discuss an overview of the need to implement transdisciplinary solutions that can be used to mitigate this bias. View Full-Text
Keywords: knowledge bias; decision support systems; artificial intelligence; healthcare information systems; knowledge-based systems knowledge bias; decision support systems; artificial intelligence; healthcare information systems; knowledge-based systems
MDPI and ACS Style

Gurupur, V.; Wan, T.T.H. Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare. Medicina 2020, 56, 141.

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