Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology

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Publication Details

Journal
Mayo Clinic Proceedings Digital Health
Published
2025-10-28
DOI
https://doi.org/10.1016/j.mcpdig.2025.100302
Citations
2
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
4.96
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article

Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology

Nadieh Khalili, Vincenzo L’Imperio, David Ameisen, Mircea-Sebastian Şerbănescu et al.
2 citations
Mayo Clinic Proceedings Digital Health
AI in cancer detection
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.
Mayo Clinic Proceedings Digital HealthVol. 3(4)
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)
Openalex Percentile: Top 4%
AI in cancer detection
4.96
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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