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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:The lancet oncology Ročník 25; číslo 11; s. e581 - e588
Hlavní autoři: 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
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Elsevier Ltd 01.11.2024
Elsevier Limited
Témata:
ISSN:1470-2045, 1474-5488, 1474-5488
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
Contributors
JEV-M, SB, PV, MAV, SMC, RYH, and NG conceptualised this Policy Review. SB and SP provided visualisation for the manuscript. JEV-M, SB, SMC, RYH, and NG provided supervision over the review. JEV-M, SB, PV, PT, JML, RYH, and NG wrote the original draft and all authors then reviewed and revised the manuscript. All authors had final responsibility for the decision to submit for publication.
ISSN:1470-2045
1474-5488
1474-5488
DOI:10.1016/S1470-2045(24)00316-4