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

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Detalles Bibliográficos
Autores principales: Gurupur, Varadraj, Wan, Thomas T. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142873/
https://www.ncbi.nlm.nih.gov/pubmed/32244930
http://dx.doi.org/10.3390/medicina56030141
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author Gurupur, Varadraj
Wan, Thomas T. H.
author_facet Gurupur, Varadraj
Wan, Thomas T. H.
author_sort Gurupur, Varadraj
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description 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.
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spelling pubmed-71428732020-04-14 Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare Gurupur, Varadraj Wan, Thomas T. H. Medicina (Kaunas) Review 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. MDPI 2020-03-20 /pmc/articles/PMC7142873/ /pubmed/32244930 http://dx.doi.org/10.3390/medicina56030141 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Gurupur, Varadraj
Wan, Thomas T. H.
Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare
title Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare
title_full Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare
title_fullStr Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare
title_full_unstemmed Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare
title_short Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare
title_sort inherent bias in artificial intelligence-based decision support systems for healthcare
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142873/
https://www.ncbi.nlm.nih.gov/pubmed/32244930
http://dx.doi.org/10.3390/medicina56030141
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