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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7142873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gurupurvaradraj inherentbiasinartificialintelligencebaseddecisionsupportsystemsforhealthcare AT wanthomasth inherentbiasinartificialintelligencebaseddecisionsupportsystemsforhealthcare |