Cargando…

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.

Detalles Bibliográficos
Autores principales: Vayena, Effy, Blasimme, Alessandro, Cohen, I. Glenn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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
_version_ 1783368712973189120
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