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

URN to cite this document:: urn:nbn:de:bvb:355-epub-539857
DOI to cite this document:: 10.5283/epub.53985

Rösler, Wiebke ; Altenbuchinger, Michael ; Baeßler, Bettina ; Beissbarth, Tim ; Beutel, Gernot ; Bock, Robert ; von Bubnoff, Nikolas ; Eckardt, Jan-Niklas

; Foersch, Sebastian ; Loeffler, Chiara M L

; Middeke, Jan Moritz ; Mueller, Martha-Lena ; Oellerich, Thomas ; Risse, Benjamin ; Scherag, André ; Schliemann, Christoph ; Scholz, Markus ; Spang, Rainer ; Thielscher, Christian ; Tsoukakis, Ioannis ; Kather, Jakob Nikolas

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 24 Mar 2023 07:38

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Abstract

BackgroundArtificial 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 ...