Künstliche Intelligenz für die computerunterstützte Leukämiediagnostik

Matek C, Marr C, von Bergwelt-Baildon M, Spiekermann K (2023)

Publication Type: Journal article

Publication year: 2023

Journal

Deutsche Medizinische Wochenschrift Georg Thieme Verlag

Book Volume: 148

Pages Range: 1108-1112

Journal Issue: 17

DOI: 10.1055/a-1965-7044

Abstract

The manual examination of blood and bone marrow specimens for leukemia patients is time-consuming and limited by intra- and inter-observer variance. The development of AI algorithms for leukemia diagnostics requires high-quality sample digitization and reliable annotation of large datasets. Deep learning-based algorithms using these datasets attain human-level performance for some well-defined, clinically relevant questions such as the blast character of cells. Methods such as multiple - instance - learning allow predicting diagnoses from a collection of leukocytes, but are more data-intensive. Using "explainable AI" methods can make the prediction process more transparent and allow users to verify the algorithm's predictions. Stability and robustness analyses are necessary for routine application of these algorithms, and regulatory institutions are developing standards for this purpose. Integrated diagnostics, which link different diagnostic modalities, offer the promise of even greater accuracy but require more extensive and diverse datasets.

Authors with CRIS profile

Christian Matek Institute of Pathology

Additional Organisation(s)

Interdisziplinäres Zentrum für Klinische Forschung (IZKF)

Related research project(s)

J101: AI-based support for histopathology evaluation of autoinflammatory and malignant GI diseases Jan. 1, 2023 - Dec. 31, 2025

Involved external institutions

Ludwig-Maximilians-Universität (LMU) DE Germany (DE) Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich DE Germany (DE)

How to cite

APA:

Matek, C., Marr, C., von Bergwelt-Baildon, M., & Spiekermann, K. (2023). Künstliche Intelligenz für die computerunterstützte Leukämiediagnostik. Deutsche Medizinische Wochenschrift, 148(17), 1108-1112. https://dx.doi.org/10.1055/a-1965-7044

MLA:

Matek, Christian, et al. "Künstliche Intelligenz für die computerunterstützte Leukämiediagnostik." Deutsche Medizinische Wochenschrift 148.17 (2023): 1108-1112.

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