Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology
Nadieh Khalili, Vincenzo L’Imperio, David Ameisen, Mircea-Sebastian Şerbănescu et al.
Citations
2 citations
Journal
Mayo Clinic Proceedings Digital Health
Topics
AI in cancer detection
Field-Weighted Citation Impact (FWCI)
4.96
article
Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology
Nadieh Khalili, Vincenzo L’Imperio, David Ameisen, Mircea-Sebastian Şerbănescu, Inti Zlobec, Jordi Temprana‐Salvador, Norman Zerbe, Diana Montezuma, Rouven Porz
article en
2 citations
Abstract
No abstract available for this paper.
Publication Tag
Mayo Clinic Proceedings Digital HealthVol. 3(4)
Institutions
University of Bern (CH), Hebron University (PS), Radboud University Nijmegen (NL), University Hospital of Bern (CH), Radboud University Medical Center (NL), University of Medicine and Pharmacy of Craiova (RO), European Society of Cardiology (FR), Humboldt-Universität zu Berlin (DE), Instituto Português de Oncologia Francisco Gentil (PT), Azienda Ospedaliera San Gerardo (IT), Imerys (France) (FR), Vall d'Hebron Hospital Universitari (ES), CS Diagnostics (DE), University of Milano-Bicocca (IT)
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Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology — Nadieh Khalili, Vincenzo L’Imperio, et al. · Mayo Clinic Proceedings Digital Health (2025) | TGRS Research Map | TGRS