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Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions

Introduction: Inflammatory conditions in patients have various causes and require different treatments. Bacterial infections are treated with antibiotics, while these medications are ineffective against viral infections. Autoimmune diseases and graft-versus-host disease (GVHD) after allogeneic st...

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Main Authors: Hoffmann, Joerg, Rheude, Anne, Neubauer, Andreas, Brendel, Cornelia, Thrun, Michael C.
Format: Article
Language:English
Published: Philipps-Universität Marburg 2024
Subjects:
inflammation
infection
CD169
CD64
explainable AI
Medizin
Medical sciences Medicine
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Call Number: urn:nbn:de:hebis:04-es2024-08908
Publication Date: 2024-04-23
Source: Erstveröffentlichung: Hoffmann J, Rheude A, Neubauer A, Brendel C and Thrun MC (2024) Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions. Front. Immunol. 15:1364954. https://doi.org/10.3389/fimmu.2024.1364954
Downloads: 20 (2025), 73 (2024)
License: https://creativecommons.org/licenses/by/4.0
Access URL: https://archiv.ub.uni-marburg.de/es/2024/0890
https://doi.org/10.3389/fimmu.2024.1364954

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