Explainable AI identifies diagnostic cells of genetic AML subtypes

Explainable AI is deemed essential for clinical applications as it allows rationalizing model predictions, helping to build trust between clinicians and automated decision support tools. We developed an inherently explainable AI model for the classification of acute myeloid leukemia subtypes from bl...

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Detalles Bibliográficos
Autores principales: Hehr, Matthias, Sadafi, Ario, Matek, Christian, Lienemann, Peter, Pohlkamp, Christian, Haferlach, Torsten, Spiekermann, Karsten, Marr, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016704/
https://www.ncbi.nlm.nih.gov/pubmed/36921004
http://dx.doi.org/10.1371/journal.pdig.0000187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016704/
https://www.ncbi.nlm.nih.gov/pubmed/36921004
http://dx.doi.org/10.1371/journal.pdig.0000187

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