P812: PREDICTING HIGH-RISK DISEASE BIOLOGY USING ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS IN NEWLY DIAGNOSED MULTIPLE MYELOMA

Detalles Bibliográficos
Autores principales: Shreve, Jacob, Charalampous, Charalampos, Kourelis, Taxiarchis, Pritchett, Josh, Hwa, Yi, Paludo, Jonas, Gonsalves, Wilson, Lin, Yi, Shah, Mithun, Hobbs, Miriam, Cook, Joselle, Lacy, Martha, Dispenzieri, Angela, Broski, Stephen, Rajkumar, Vincent, Kumar, Shaji, Binder, Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Posters
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430489/
http://dx.doi.org/10.1097/01.HS9.0000970152.05861.06

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430489/
http://dx.doi.org/10.1097/01.HS9.0000970152.05861.06

Ejemplares similares