001032187 001__ 1032187
001032187 005__ 20250203133217.0
001032187 0247_ $$2doi$$a10.1016/S1470-2045(24)00315-2
001032187 0247_ $$2ISSN$$a1470-2045
001032187 0247_ $$2ISSN$$a1474-5488
001032187 0247_ $$2pmid$$a39481415
001032187 0247_ $$2WOS$$aWOS:001348280600001
001032187 037__ $$aFZJ-2024-06056
001032187 082__ $$a610
001032187 1001_ $$0P:(DE-HGF)0$$aBakas, Spyridon$$b0$$eCorresponding author
001032187 245__ $$aArtificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice
001032187 260__ $$aLondon$$bThe Lancet Publ. Group$$c2024
001032187 3367_ $$2DRIVER$$aarticle
001032187 3367_ $$2DataCite$$aOutput Types/Journal article
001032187 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1738146790_7914
001032187 3367_ $$2BibTeX$$aARTICLE
001032187 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001032187 3367_ $$00$$2EndNote$$aJournal Article
001032187 520__ $$aTechnological advancements have enabled the extended investigation, development, and application of computational approaches in various domains, including health care. A burgeoning number of diagnostic, predictive, prognostic, and monitoring biomarkers are continuously being explored to improve clinical decision making in neuro-oncology. These advancements describe the increasing incorporation of artificial intelligence (AI) algorithms, including the use of radiomics. However, the broad applicability and clinical translation of AI are restricted by concerns about generalisability, reproducibility, scalability, and validation. This Policy Review intends to serve as the leading resource of recommendations for the standardisation and good clinical practice of AI approaches in health care, particularly in neuro-oncology. To this end, we investigate the repeatability, reproducibility, and stability of AI in response assessment in neuro-oncology in studies on factors affecting such computational approaches, and in publicly available open-source data and computational software tools facilitating these goals. The pathway for standardisation and validation of these approaches is discussed with the view of trustworthy AI enabling the next generation of clinical trials. We conclude with an outlook on the future of AI-enabled neuro-oncology.
001032187 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001032187 536__ $$0G:(DE-HGF)POF4-5252$$a5252 - Brain Dysfunction and Plasticity (POF4-525)$$cPOF4-525$$fPOF IV$$x1
001032187 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001032187 7001_ $$0P:(DE-HGF)0$$aVollmuth, Philipp$$b1
001032187 7001_ $$0P:(DE-Juel1)143792$$aGalldiks, Norbert$$b2
001032187 7001_ $$0P:(DE-HGF)0$$aBooth, Thomas C$$b3
001032187 7001_ $$0P:(DE-HGF)0$$aAerts, Hugo J W L$$b4
001032187 7001_ $$0P:(DE-HGF)0$$aBi, Wenya Linda$$b5
001032187 7001_ $$0P:(DE-HGF)0$$aWiestler, Benedikt$$b6
001032187 7001_ $$0P:(DE-HGF)0$$aTiwari, Pallavi$$b7
001032187 7001_ $$0P:(DE-HGF)0$$aPati, Sarthak$$b8
001032187 7001_ $$0P:(DE-HGF)0$$aBaid, Ujjwal$$b9
001032187 7001_ $$0P:(DE-HGF)0$$aCalabrese, Evan$$b10
001032187 7001_ $$0P:(DE-Juel1)145110$$aLohmann, Philipp$$b11
001032187 7001_ $$0P:(DE-HGF)0$$aNowosielski, Martha$$b12
001032187 7001_ $$0P:(DE-HGF)0$$aJain, Rajan$$b13
001032187 7001_ $$0P:(DE-HGF)0$$aColen, Rivka$$b14
001032187 7001_ $$0P:(DE-HGF)0$$aIsmail, Marwa$$b15
001032187 7001_ $$0P:(DE-HGF)0$$aRasool, Ghulam$$b16
001032187 7001_ $$0P:(DE-HGF)0$$aLupo, Janine M$$b17
001032187 7001_ $$0P:(DE-HGF)0$$aAkbari, Hamed$$b18
001032187 7001_ $$0P:(DE-HGF)0$$aTonn, Joerg C$$b19
001032187 7001_ $$0P:(DE-HGF)0$$aMacdonald, David$$b20
001032187 7001_ $$0P:(DE-HGF)0$$aVogelbaum, Michael$$b21
001032187 7001_ $$0P:(DE-HGF)0$$aChang, Susan M$$b22
001032187 7001_ $$0P:(DE-HGF)0$$aDavatzikos, Christos$$b23
001032187 7001_ $$0P:(DE-HGF)0$$aVillanueva-Meyer, Javier E$$b24
001032187 7001_ $$0P:(DE-HGF)0$$aHuang, Raymond Y$$b25
001032187 773__ $$0PERI:(DE-600)2035574-9$$a10.1016/S1470-2045(24)00315-2$$gVol. 25, no. 11, p. e589 - e601$$n11$$pe589 - e601$$tThe lancet / Oncology$$v25$$x1470-2045$$y2024
001032187 8564_ $$uhttps://juser.fz-juelich.de/record/1032187/files/post%20print.pdf$$yRestricted
001032187 909CO $$ooai:juser.fz-juelich.de:1032187$$pVDB
001032187 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143792$$aForschungszentrum Jülich$$b2$$kFZJ
001032187 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145110$$aForschungszentrum Jülich$$b11$$kFZJ
001032187 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001032187 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5252$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x1
001032187 9141_ $$y2024
001032187 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-08-25
001032187 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-08-25
001032187 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bLANCET ONCOL : 2022$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-17
001032187 915__ $$0StatID:(DE-HGF)9950$$2StatID$$aIF >= 50$$bLANCET ONCOL : 2022$$d2024-12-17
001032187 920__ $$lyes
001032187 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
001032187 9201_ $$0I:(DE-Juel1)INM-3-20090406$$kINM-3$$lKognitive Neurowissenschaften$$x1
001032187 980__ $$ajournal
001032187 980__ $$aVDB
001032187 980__ $$aI:(DE-Juel1)INM-4-20090406
001032187 980__ $$aI:(DE-Juel1)INM-3-20090406
001032187 980__ $$aUNRESTRICTED