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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.<\/jats:p>\n <\/jats:sec><jats:sec>\n <jats:title>Methods<\/jats:title>\n <jats:p>In this article, we provide an expert-based consensus statement by the joint Working Group on \u201cArtificial Intelligence in Hematology and Oncology\u201d 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.<\/jats:p>\n <\/jats:sec><jats:sec>\n <jats:title>Results<\/jats:title>\n <jats:p>First, we propose a technological definition, which we deliberately set in a narrow frame to mainly include the technical developments of the last ten\u00a0years. 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.<\/jats:p>\n <\/jats:sec><jats:sec>\n <jats:title>Conclusion<\/jats:title>\n <jats:p>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.<\/jats:p>\n <\/jats:sec>","DOI":"10.1007\/s00432-023-04667-5","type":"journal-article","created":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T10:03:22Z","timestamp":1678874602000},"page":"7997-8006","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An overview and a roadmap for artificial intelligence in hematology and oncology"],"prefix":"10.1007","volume":"149","author":[{"given":"Wiebke","family":"R\u00f6sler","sequence":"first","affiliation":[]},{"given":"Michael","family":"Altenbuchinger","sequence":"additional","affiliation":[]},{"given":"Bettina","family":"Bae\u00dfler","sequence":"additional","affiliation":[]},{"given":"Tim","family":"Beissbarth","sequence":"additional","affiliation":[]},{"given":"Gernot","family":"Beutel","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Bock","sequence":"additional","affiliation":[]},{"given":"Nikolas","family":"von Bubnoff","sequence":"additional","affiliation":[]},{"given":"Jan-Niklas","family":"Eckardt","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Foersch","sequence":"additional","affiliation":[]},{"given":"Chiara M. 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WR reports travel support from Janssen, AstraZeneca and Amgen, honoraria for lectures from AstraZeneca and received a grant from Novartis. NvB received honoraria from Takeda and travel support from Janssen-Cilag.MS receives funding from Pfizer Inc. for a project not related to the topic of this paper.BR has no conflicts of interest. JMM reports consulting services for Janssen, Roche, Gilead, Abbvie, Jazz, Pfizer, Astellas, Novartis and funding of scientific projects from Janssen, Jazz, Novartis and Astellas. The other authors do not report any conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}} |