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Journal of Cancer Research and Clinical Oncology

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Open Access 15-03-2023 | Artificial Intelligence | Review

An overview and a roadmap for artificial intelligence in hematology and oncology

Authors: Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, Tim Beissbarth, Gernot Beutel, Robert Bock, Nikolas von Bubnoff, Jan-Niklas Eckardt, Sebastian Foersch, Chiara M. L. Loeffler, Jan Moritz Middeke, Martha-Lena Mueller, Thomas Oellerich, Benjamin Risse, André Scherag, Christoph Schliemann, Markus Scholz, Rainer Spang, Christian Thielscher, Ioannis Tsoukakis, Jakob Nikolas Kather

Published in: Journal of Cancer Research and Clinical Oncology | Issue 10/2023

Abstract

Background

Artificial intelligence (AI) is influencing our society on many levels and has broad implications for the future practice of hematology and oncology. However, for many medical professionals and researchers, it often remains unclear what AI can and cannot do, and what are promising areas for a sensible application of AI in hematology and oncology. Finally, the limits and perils of using AI in oncology are not obvious to many healthcare professionals.

Methods

In this article, we provide an expert-based consensus statement by the joint Working Group on “Artificial Intelligence in Hematology and Oncology” by the German Society of Hematology and Oncology (DGHO), the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), and the Special Interest Group Digital Health of the German Informatics Society (GI). We provide a conceptual framework for AI in hematology and oncology.

Results

First, we propose a technological definition, which we deliberately set in a narrow frame to mainly include the technical developments of the last ten years. Second, we present a taxonomy of clinically relevant AI systems, structured according to the type of clinical data they are used to analyze. Third, we show an overview of potential applications, including clinical, research, and educational environments with a focus on hematology and oncology.

Conclusion

Thus, this article provides a point of reference for hematologists and oncologists, and at the same time sets forth a framework for the further development and clinical deployment of AI in hematology and oncology in the future.

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Title: An overview and a roadmap for artificial intelligence in hematology and oncology
Authors: Wiebke Rösler
Michael Altenbuchinger
Bettina Baeßler
Tim Beissbarth
Gernot Beutel
Robert Bock
Nikolas von Bubnoff
Jan-Niklas Eckardt
Sebastian Foersch
Chiara M. L. Loeffler
Jan Moritz Middeke
Martha-Lena Mueller
Thomas Oellerich
Benjamin Risse
André Scherag
Christoph Schliemann
Markus Scholz
Rainer Spang
Christian Thielscher
Ioannis Tsoukakis
Jakob Nikolas Kather
Publication date: 15-03-2023
Publisher: Springer Berlin Heidelberg
Keywords: Artificial Intelligence
Hematology
Published in: Journal of Cancer Research and Clinical Oncology / Issue 10/2023
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-023-04667-5

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Abstract

Background

Methods

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