dc.contributor
Institut Català de la Salut
dc.contributor
[Montezuma D] European Society of Digital and Integrative Pathology (ESDIP), Lisboa, Portugal. Research & Development Unit, IMP Diagnostics, Portugal. Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP), Portuguese Oncology Institute of Porto, Comprehensive Cancer Center Raquel Seruca (Porto.CCC) & CI-IPOP@RISE (Health Research Network), Portugal. [Porz R] Medical Ethics and Continuing Medical Education, Insel Gruppe, Inselspital, University Hospital of Bern, Bern, Switzerland. [Ameisen D] European Society of Digital and Integrative Pathology (ESDIP), Lisboa, Portugal. imginIT SAS, Paris, France. [L’Imperio V] European Society of Digital and Integrative Pathology (ESDIP), Lisboa, Portugal. School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy. Department of Pathology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy. [Serbanescu MS] European Society of Digital and Integrative Pathology (ESDIP), Lisboa, Portugal. Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, Romania. [Temprana-Salvador J] European Society of Digital and Integrative Pathology (ESDIP), Lisboa, Portugal. Servei d’Anatomia Patològica, Vall d’Hebron Hospital Universitari, Barcelona, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Montezuma, Diana
dc.contributor.author
Porz, Rouven
dc.contributor.author
Ameisen, David
dc.contributor.author
Serbanescu, Mircea-Sebastian
dc.contributor.author
L'Imperio, Vincenzo
dc.contributor.author
Temprana Salvador, Jordi
dc.date.accessioned
2026-03-12T15:43:36Z
dc.date.available
2026-03-12T15:43:36Z
dc.date.issued
2026-03-11T12:47:32Z
dc.date.issued
2026-03-11T12:47:32Z
dc.identifier
Montezuma D, Porz R, Ameisen D, L’Imperio V, Serbanescu MS, Temprana-Salvador J, et al. Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology. Mayo Clin Proc Digit Heal. 2025 Dec;3(4):100302.
dc.identifier
http://hdl.handle.net/11351/14327
dc.identifier
10.1016/j.mcpdig.2025.100302
dc.identifier
001622155600001
dc.identifier.uri
https://hdl.handle.net/11351/14327
dc.description.abstract
Inteligencia artificial; Patología computacional
dc.description.abstract
Intel·ligència artificial; Patologia computacional
dc.description.abstract
Artificial intelligence; Computational pathology
dc.description.abstract
This work was conducted independently and was fully funded by the European Society of Digital and Integrative Pathology (ESDIP).
dc.format
application/pdf
dc.relation
Mayo Clinic Proceedings: Digital Health;3(4)
dc.relation
https://doi.org/10.1016/j.mcpdig.2025.100302
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Intel·ligència artificial
dc.subject
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence
dc.subject
DISCIPLINES AND OCCUPATIONS::Health Occupations::Medicine::Pathology
dc.subject
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial
dc.subject
DISCIPLINAS Y OCUPACIONES::profesiones sanitarias::medicina::anatomía patológica
dc.title
Unbiased Artificial Intelligence: Addressing Bias in Computational Pathology
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
