Výsledky vyhledávání - "Evgeni Aizenberg"

Akademický článek

Autor: Evgeni Aizenberg, Jeroen van den Hoven

Publikováno v: Big Data & Society, Vol 7 (2020)

In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. Artificial intelligence (AI) systems

Externí odkaz: https://doaj.org/article/44a903ab53e24f85b26563a934133dd2

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Akademický článek

Computer-aided evaluation of inflammatory changes over time on MRI of the spine in patients with suspected axial spondyloarthritis: a feasibility study

Autor: Evgeni Aizenberg, Rosaline van den Berg, Zineb Ez-Zaitouni, Désirée van der Heijde, Monique Reijnierse, Oleh Dzyubachyk, Boudewijn P.F. Lelieveldt

Publikováno v: BMC Medical Imaging, Vol 17, Iss 1, Pp 1-9 (2017)

Abstract Background Evaluating inflammatory changes over time on MR images of the spine in patients with suspected axial Spondyloarthritis (axSpA) can be a labor-intensive task, requiring readers to manually search for and perceptually align a set of

Externí odkaz: https://doaj.org/article/c8259d57eb2a4f68b84cc0beb38293ba

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Meaningful human control: actionable properties for AI system development

Autor: Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk

Publikováno v: AI and Ethics

How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa184397f50489540627f32654c30d2
https://doi.org/10.1007/s43681-022-00167-3

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Correction to: the Ethics of AI in Human Resources

Autor: Matthew J Dennis, Evgeni Aizenberg

Publikováno v: Ethics and Information Technology. 25

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::35a56c142972d950b84de27b6d777a99
https://doi.org/10.1007/s10676-022-09671-w

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The Ethics of AI in Human Resources

Autor: Matthew J, Dennis, Evgeni Aizenberg

Publikováno v: Ethics and Information Technology, 24(3):25. Springer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4850d2976e26201a4a52babbc83a96d8
https://research.tue.nl/nl/publications/8b75689b-0115-44db-94fd-1443b4ed2ebe

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Automatic quantification of tenosynovitis on MRI of the wrist in patients with early arthritis: a feasibility study

Autor: Berend C. Stoel, Evgeni Aizenberg, Denis P Shamonin, Monique Reijnierse, Annette H M van der Helm-van Mil

Publikováno v: European Radiology, 29(8), 4477-4484. Springer-Verlag
European Radiology
European Radiology, 29(8), 4477-4484

Objectives Tenosynovitis (inflammation of the synovial lining of the sheath surrounding tendons) is frequently observed on MRI of early arthritis patients. Since visual assessment of tenosynovitis is a laborious task, we investigated the feasibility

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1af59881723e26ea4de85a7af60d62e
https://doi.org/10.1007/s00330-018-5807-2

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Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study

Autor: W.P. Nieuwenhuis, Monique Reijnierse, Edgar A.H. Roex, Annette H M van der Helm-van Mil, Johan L. Bloem, Evgeni Aizenberg, Boudewijn P. F. Lelieveldt, Berend C. Stoel, L. Mangnus

Publikováno v: Magnetic Resonance in Medicine. 79:1127-1134

Purpose To investigate the feasibility of automatic quantification of bone marrow edema (BME) on MRI of the wrist in patients with early arthritis. Methods For 485 early arthritis patients (clinically confirmed arthritis of one or more joints, sympto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a9e1777774d06710fa361c291a8894e
https://doi.org/10.1002/mrm.26712

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Identifying MRI-detected inflammatory features specific for rheumatoid arthritis: two-fold feature reduction maintains predictive accuracy in clinically suspect arthralgia patients

Autor: Berend C. Stoel, Robin M. ten Brinck, Evgeni Aizenberg, Annette H M van der Helm-van Mil, Monique Reijnierse

Publikováno v: Seminars in Arthritis and Rheumatism, 48(4), 579-586

Objective MRI-detected inflammation is considered of diagnostic value for rheumatoid arthritis (RA), but its evaluation involves a time-consuming scoring of 61 joint-level features. It is not clear, however, which of these features are specific for R

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f645867c0fcb3c16ab0e60be3a3f3bbb
https://hdl.handle.net/1887/121041

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Designing for human rights in AI

Autor: Jeroen van den Hoven, Evgeni Aizenberg

Publikováno v: Big Data & Society, Vol 7 (2020)
Big Data & Society, 7(2)
NARCIS
DOAJ-Articles
arXiv.org e-Print Archive
Datacite
UnpayWall
ORCID
Microsoft Academic Graph

30 pages, 2 figures, pre-print of the paper accepted for publication in the journal Big Data & Society
In the age of big data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80f2b678e42d9d38e5181cc322f892d5
https://doi.org/10.1177/2053951720949566

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