Role of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapies
Abstract
KEY 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.
Collections
Cite this version of the work
Julia Brosch-Lenz, Fereshteh Yousefirizi, Katherine Zukotynski, Jean-Mathieu Beauregard, Vincent C. Gaudet, Babak Saboury, Arman Rahmim, Carlos F. Uribe
(2021).
Role of Artificial Intelligence in Theranostics: Toward Routine Personalized Radiopharmaceutical Therapies. UWSpace.
http://hdl.handle.net/10012/20109
Other formats