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Role of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapies

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dc.contributor.authorBrosch-Lenz, Julia
dc.contributor.authorYousefirizi, Fereshteh
dc.contributor.authorZukotynski, Katherine
dc.contributor.authorBeauregard, Jean-Mathieu
dc.contributor.authorGaudet, Vincent C.
dc.contributor.authorSaboury, Babak
dc.contributor.authorRahmim, Arman
dc.contributor.authorUribe, Carlos F.
dc.date.accessioned2023-11-21T16:06:11Z
dc.date.available2023-11-21T16:06:11Z
dc.date.issued2021-10
dc.descriptionThe final publication is available at Elsevier via https://doi.org/10.1016/j.cpet.2021.06.002. © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractKEY POINTS AI has shown promising applications in quantitative imaging required for dosimetry. Segmentation of organs and tumors, the most time consuming task in the dosimetry workflow, can be automated using AI. Using the theranostic approach, AI models that predict absorbed dose and therapy outcomes might play a key role in personalizing RPTs. AI has significant potential to improve accuracy and reduce times for routine implementation of patient-specific dosimetry in RPTs.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC), Discovery G4rant RGPIN-2019-06467 || NSERC, Discovery Grant RGPIN-2021-02965.en
dc.identifier.urihttps://doi.org/10.1016/j.cpet.2021.06.002
dc.identifier.urihttp://hdl.handle.net/10012/20109
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseriesPET Clinics;16(4)
dc.subjecttheranosticsen
dc.subjectradiopharmaceutical therapiesen
dc.subjectdosimetryen
dc.subjectartificial intelligenceen
dc.subjectoutcome predictionen
dc.subjectsegmentationen
dc.subjectregistrationen
dc.subjectquantitative imagingen
dc.titleRole of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapiesen
dc.typeArticleen
dcterms.bibliographicCitationBrosch-Lenz, J., Yousefirizi, F., Zukotynski, K., Beauregard, J.-M., Gaudet, V., Saboury, B., Rahmim, A., & Uribe, C. (2021). Role of artificial intelligence in Theranostics. PET Clinics, 16(4), 627–641. https://doi.org/10.1016/j.cpet.2021.06.002en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Electrical and Computer Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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