Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.
Publication
, Journal Article
Villanueva-Meyer, JE; Bakas, S; Tiwari, P; Lupo, JM; Calabrese, E; Davatzikos, C; Bi, WL; Ismail, M; Akbari, H; Lohmann, P; Booth, TC; Jain, R ...
Published in: Lancet Oncol
November 2024
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.
Duke Scholars
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Published In
Lancet Oncol
DOI
EISSN
1474-5488
Publication Date
November 2024
Volume
25
Issue
11
Start / End Page
e581 / e588
Location
England
Related Subject Headings
- Treatment Outcome
- Prognosis
- Oncology & Carcinogenesis
- Medical Oncology
- Humans
- Brain Neoplasms
- Artificial Intelligence
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis
Citation
APA
Chicago
ICMJE
MLA
NLM
Villanueva-Meyer, J. E., Bakas, S., Tiwari, P., Lupo, J. M., Calabrese, E., Davatzikos, C., … Response Assessment in Neuro Oncology (RANO) group. (2024). Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements. Lancet Oncol, 25(11), e581–e588. https://doi.org/10.1016/S1470-2045(24)00316-4
Villanueva-Meyer, Javier E., Spyridon Bakas, Pallavi Tiwari, Janine M. Lupo, Evan Calabrese, Christos Davatzikos, Wenya Linda Bi, et al. “Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.” Lancet Oncol 25, no. 11 (November 2024): e581–88. https://doi.org/10.1016/S1470-2045(24)00316-4.
Villanueva-Meyer JE, Bakas S, Tiwari P, Lupo JM, Calabrese E, Davatzikos C, et al. Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements. Lancet Oncol. 2024 Nov;25(11):e581–8.
Villanueva-Meyer, Javier E., et al. “Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.” Lancet Oncol, vol. 25, no. 11, Nov. 2024, pp. e581–88. Pubmed, doi:10.1016/S1470-2045(24)00316-4.
Villanueva-Meyer JE, Bakas S, Tiwari P, Lupo JM, Calabrese E, Davatzikos C, Bi WL, Ismail M, Akbari H, Lohmann P, Booth TC, Wiestler B, Aerts HJWL, Rasool G, Tonn JC, Nowosielski M, Jain R, Colen RR, Pati S, Baid U, Vollmuth P, Macdonald D, Vogelbaum MA, Chang SM, Huang RY, Galldiks N, Response Assessment in Neuro Oncology (RANO) group. Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements. Lancet Oncol. 2024 Nov;25(11):e581–e588.
Published In
Lancet Oncol
DOI
EISSN
1474-5488
Publication Date
November 2024
Volume
25
Issue
11
Start / End Page
e581 / e588
Location
England
Related Subject Headings
- Treatment Outcome
- Prognosis
- Oncology & Carcinogenesis
- Medical Oncology
- Humans
- Brain Neoplasms
- Artificial Intelligence
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis