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CNS Tumors | Diagnosis | Artificial intelligence
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Jensen MP, Qiang Z, Khan DZ, Stoyanov D, Baldeweg SE, Jaunmuktane
Z, Brandner S, Marcus HJ.
Artificial
intelligence in histopathological image analysis of central
nervous system tumours: A systematic review.
Neuropathol
Appl Neurobiol. 2024 May 13;50(3):e12981. doi:
10.1111/nan.12981. PMID:
38738494. Review; Recommendations. ˍ
Iqbal
MS, Belal Bin Heyat M, Parveen S, Ammar Bin Hayat M, Roshanzamir
M, Alizadehsani R, Akhtar F, Sayeed E, Hussain S, Hussein HS,
Sawan M.
Progress
and trends in neurological disorders research based on deep
learning.
Comput
Med Imaging Graph.
2024 May 25;116:102400. doi:
10.1016/j.compmedimag.2024.102400. PMID:
38851079. Review˰ ˍ
Wang M, Peng Y, Wang Y, Luo D.
Research
Trends and Evolution in Radiogenomics (2005-2023): Bibliometric
Analysis.
Interact
J Med Res. 2024
Jul 9;13:e51347. doi:
10.2196/51347. PMID:
38980713. Bibliometric analysis. ˍ
Doddamani R, Chandra PS.
Radiogenomics
In Neuro-Oncology: A Noninvasive Way of Understanding Tumor
Biology.
Neurol
India. 2024 Aug 31;72(4):698-699. doi:
10.4103/neurol-india.neurol-india_88_24. PMID:
39216019. Editorial. ˍ
He W, Huang W, Zhang L, Wu X, Zhang S, Zhang B.
Radiogenomics:
bridging the gap between imaging and genomics for precision
oncology.
MedComm
(2020). 2024 Sep 9;5(9):e722. doi:
10.1002/mco2.722. PMID:
39252824. Review. ˍ
Broggi G, Mazzucchelli M, Salzano S, Barbagallo GMV, Certo F,
Zanelli M, Palicelli A, Zizzo M, Koufopoulos N, Magro G,
Caltabiano R.
The emerging role of
artificial intelligence in neuropathology: Where are we and where
do we want to go?
Pathol
Res Pract. 2024 Oct 23;263:155671. doi:
10.1016/j.prp.2024.155671. PMID:
39490225. Review. ˍ
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 Oct 28;25(11):e581-e588. doi:
10.1016/S1470-2045(24)00316-4. PMID:
39481414. Review˰ ˍ
Bakas S, Vollmuth P, Galldiks N, Booth TC, Aerts HJWL, Bi WL,
Wiestler B, Tiwari P, Pati S, Baid U, Calabrese E, Lohmann P,
Nowosielski M, Jain R, Colen R, Ismail M, Rasool G, Lupo JM,
Akbari H, Tonn JC, Macdonald D, Vogelbaum M, Chang SM, Davatzikos
C, Villanueva-Meyer JE, Huang RY; Response Assessment in Neuro
Oncology (RANO) group.
Artificial
Intelligence for Response Assessment in Neuro Oncology (AI-RANO),
part 2: recommendations for standardisation, validation, and good
clinical practice.
Lancet
Oncol. 2024 Oct 28;25(11):e589-e601. doi:
10.1016/S1470-2045(24)00315-2. PMID:
39481415. Review: Recommendations˰
ˍ
Suero Molina E, Azemi G, Russo C, Liu S, Di Ieva A.
Artificial
Intelligence in Brain Tumors.
Adv
Exp Med Biol. 2024 Nov 11;1462:201-220. doi:
10.1007/978-3-031-64892-2_12. PMID:
39523267. Book chapter˰
ˍ