Large language models and multimodal foundation models for precision oncology
npj Precision Oncology, vol. 8, pp. 72
Abstract
The technological progress in artificial intelligence (AI) has massively accelerated since 2022, with far-reaching implications for oncology and cancer research. Large language models (LLMs) now perform at human-level competency in text processing. Notably, both text and image processing networks are increasingly based on transformer neural networks. This convergence enables the development of multimodal AI models that take diverse types of data as an input simultaneously, marking a qualitative shift from specialized niche models which were prevalent in the 2010s. This editorial summarizes these developments, which are expected to impact precision oncology in the coming years.
Authors 4
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Affiliation as printed
Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany
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University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
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Heidelberg University · University Hospital Heidelberg · National Center for Tumor Diseases
Affiliation as printed
Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany
National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany
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Jakob Nikolas Kather corresponding
Heidelberg University · University Hospital Heidelberg · National Center for Tumor Diseases · University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de
Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de
National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de
Department of Internal Medicine I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
Department of Medical Oncology, Heidelberg University Hospital, Heidelberg, Germany
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany
National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany
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