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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Bibliographic Details

Published in:	The lancet oncology Vol. 25; no. 11; pp. e581 - e588
Main Authors:	Villanueva-Meyer, Javier E, Bakas, Spyridon, Tiwari, Pallavi, Lupo, Janine M, Calabrese, Evan, Davatzikos, Christos, Bi, Wenya Linda, Ismail, Marwa, Akbari, Hamed, Lohmann, Philipp, Booth, Thomas C, Wiestler, Benedikt, Aerts, Hugo J W L, Rasool, Ghulam, Tonn, Joerg C, Nowosielski, Martha, Jain, Rajan, Colen, Rivka R, Pati, Sarthak, Baid, Ujjwal, Vollmuth, Philipp, Macdonald, David, Vogelbaum, Michael A, Chang, Susan M, Huang, Raymond Y, Galldiks, Norbert
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01.11.2024 Elsevier Limited
Subjects:	Artificial Intelligence Biomarkers Brain cancer Brain Neoplasms - genetics Brain Neoplasms - pathology Brain Neoplasms - therapy Datasets Hematology, Oncology, and Palliative Medicine Humans Medical Oncology - methods Neural networks Oncology Prognosis Treatment Outcome
ISSN:	1470-2045, 1474-5488, 1474-5488
Online Access:	Get full text
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