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Machine learning in medicine: Addressing ethical challenges
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219763/ https://www.ncbi.nlm.nih.gov/pubmed/30399149 http://dx.doi.org/10.1371/journal.pmed.1002689 |
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author | Vayena, Effy Blasimme, Alessandro Cohen, I. Glenn |
author_facet | Vayena, Effy Blasimme, Alessandro Cohen, I. Glenn |
author_sort | Vayena, Effy |
collection | PubMed |
description | Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians. |
format | Online Article Text |
id | pubmed-6219763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62197632018-11-19 Machine learning in medicine: Addressing ethical challenges Vayena, Effy Blasimme, Alessandro Cohen, I. Glenn PLoS Med Perspective Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians. Public Library of Science 2018-11-06 /pmc/articles/PMC6219763/ /pubmed/30399149 http://dx.doi.org/10.1371/journal.pmed.1002689 Text en © 2018 Vayena et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Perspective Vayena, Effy Blasimme, Alessandro Cohen, I. Glenn Machine learning in medicine: Addressing ethical challenges |
title | Machine learning in medicine: Addressing ethical challenges |
title_full | Machine learning in medicine: Addressing ethical challenges |
title_fullStr | Machine learning in medicine: Addressing ethical challenges |
title_full_unstemmed | Machine learning in medicine: Addressing ethical challenges |
title_short | Machine learning in medicine: Addressing ethical challenges |
title_sort | machine learning in medicine: addressing ethical challenges |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219763/ https://www.ncbi.nlm.nih.gov/pubmed/30399149 http://dx.doi.org/10.1371/journal.pmed.1002689 |
work_keys_str_mv | AT vayenaeffy machinelearninginmedicineaddressingethicalchallenges AT blasimmealessandro machinelearninginmedicineaddressingethicalchallenges AT coheniglenn machinelearninginmedicineaddressingethicalchallenges |