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Artificial intelligence for response assessment in neuro oncology (AI-RANO), part 1: review of current advancements

The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview and critical assessment of the work to date in this field, focusing on dia...

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Main Authors: Villanueva-Meyer, Javier (Author) , Bakas, Spyridon (Author) , Tiwari, Pallavi (Author) , Lupo, Janine M. (Author) , Calabrese, Evan (Author) , Davatzikos, Christos (Author) , Bi, Wenya Linda (Author) , Ismail, Marwa (Author) , Akbari, Hamed (Author) , Lohmann, Philipp (Author) , Booth, Thomas C. (Author) , Wiestler, Benedikt (Author) , Aerts, Hugo J. W. L. (Author) , Rasool, Ghulam (Author) , Tonn, Joerg C. (Author) , Nowosielski, Martha (Author) , Jain, Rajan (Author) , Colen, Rivka R. (Author) , Pati, Sarthak (Author) , Baid, Ujjwal (Author) , Vollmuth, Philipp (Author) , Macdonald, David (Author) , Vogelbaum, Michael A (Author) , Chang, Susan M (Author) , Huang, Raymond Y (Author) , Galldiks, Norbert (Author)
Format: Article (Journal)
Language:English
Published: November 2024
In: The lancet. Oncology
Year: 2024, Volume: 25, Issue: 11, Pages: e581-e588
ISSN:1474-5488
DOI:10.1016/S1470-2045(24)00316-4
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/S1470-2045(24)00316-4
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S1470204524003164
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Author Notes:Javier E Villanueva-Meyer, Spyridon Bakas, Pallavi Tiwari, Janine M Lupo, Evan Calabrese, Christos Davatzikos, Wenya Linda Bi, Marwa Ismail, Hamed Akbari, Philipp Lohmann, Thomas C Booth, Benedikt Wiestler, Hugo J W L Aerts, Ghulam Rasool, Joerg C Tonn, Martha Nowosielski, Rajan Jain, Rivka R Colen, Sarthak Pati, Ujjwal Baid, Philipp Vollmuth, David Macdonald, Michael A Vogelbaum, Susan M Chang, Raymond Y Huang, Norbert Galldiks, for the Response Assessment in Neuro Oncology (RANO) Group
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Summary:The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview and critical assessment of the work to date in this field, focusing on diagnostic AI models of key genomic markers, predictive AI models of response before and after therapy, and differentiation of true disease progression from treatment-related changes, which is a considerable challenge based on current clinical care in neuro-oncology. Furthermore, promising future directions, including the use of AI for automated response assessment in neuro-oncology, are discussed.
Item Description:Gesehen am 10.09.2025
Physical Description:Online Resource
ISSN:1474-5488
DOI:10.1016/S1470-2045(24)00316-4

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