@article{e8efda5c9dcc44a08841b2aacbd5fa48,
title = "Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements",
abstract = "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.",
keywords = "HIGH-GRADE GLIOMAS, MRI, GLIOBLASTOMA, FEATURES, RADIOMICS, MUTATIONS, CLASSIFICATION, SIGNATURE, SURVIVAL, NETWORK",
author = "Villanueva-Meyer, {Javier E.} and Spyridon Bakas and Pallavi Tiwari and Lupo, {Janine M.} and Evan Calabrese and Christos Davatzikos and Bi, {Wenya Linda} and Marwa Ismail and Hamed Akbari and Philipp Lohmann and Booth, {Thomas C.} and Benedikt Wiestler and Aerts, {Hugo J.W.L.} and Ghulam Rasool and Tonn, {Joerg C.} and Martha Nowosielski and Rajan Jain and Colen, {Rivka R.} and Sarthak Pati and Ujjwal Baid and Philipp Vollmuth and David Macdonald and Vogelbaum, {Michael A.} and Chang, {Susan M.} and Huang, {Raymond Y.} and Norbert Galldiks and {Response Assessment in Neuro Oncology (RANO) group}",
note = "Funding Information: The content of this publication is solely the responsibility of the authors and does not represent the official views of the NIH or of any other funding body. SB, SP, UB, and HA conducted part of the work reported in this manuscript at their current affiliation, and partly while they were affiliated with the Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D), the Center for Biomedical Image Computing and Analytics (CBICA), and the Department of Radiology, Perelman School of Medicine at the University of Pennsylvania (PA, USA). Publisher Copyright: {\textcopyright} 2024 Elsevier Ltd",
year = "2024",
month = nov,
day = "1",
doi = "10.1016/S1470-2045(24)00316-4",
language = "English",
volume = "25",
pages = "e581--e588",
journal = "The Lancet Oncology",
issn = "1470-2045",
publisher = "Elsevier Ltd",
number = "11",
}