Work

Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology

Year: 2025

Type: article

Abstract: Contains fulltext : 327664.pdf (Publisher’s version ) (Open Access)

Source: Mayo Clinic Proceedings Digital Health

DOI: 10.1016/j.mcpdig.2025.100302

Authors: Diana Montezuma, Rouven Porz, David Ameisen, Vincenzo L’Imperio, Mircea-Sebastian Serbanescu, Jordi Temprana-Salvador, Norman Zerbe, Nadieh Khalili, Inti Zlobec

Institutions: IPO Porto, Centro de Investigação do Instituto Português de Oncologia do Porto Francisco Gentil, IMP Diagnostics (Portugal), RISE - Health Research Network, University of Bern, University Hospital of Bern, University of Milano-Bicocca, University of Medicine and Pharmacy of Craiova, Vall d'Hebron Hospital Universitari, Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Radboud University Nijmegen, Radboud University Medical Center

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,500

OpenAlex ID: W4415629353

FWCI: 1.643

Cites: 21

Cited by: 4

Related to: