Self-explaining artificial intelligence for the classification of B cell non-Hodgkin lymphoma: A diagnostic decision support study.

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Title: Self-explaining artificial intelligence for the classification of B cell non-Hodgkin lymphoma: A diagnostic decision support study.
Authors: Thrun MC; Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany.; IAP-GmbH Intelligent Analytics Projects, Adelheidsdorf, Germany., Hoffmann J; Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany., Krause SW; Department of Medicine 5, Universitätsklinikum Erlangen, Erlangen, Germany., Krawitz P; Institute for Genomic Statistics and Bioinformatics, University Bonn, Bonn, Germany., Stier Q; Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany., Neubauer A; Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany., Brendel C; Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Marburg, Germany., Ultsch A; Mathematics and Computer Science, Philipps University Marburg, Marburg, Germany.
Source: PLoS medicine [PLoS Med] 2026 Jul 13; Vol. 23 (7), pp. e1004889. Date of Electronic Publication: 2026 Jul 13.
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101231360 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-1676 (Electronic) Linking ISSN: 15491277 NLM ISO Abbreviation: PLoS Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1549-1676
DOI:10.1371/journal.pmed.1004889