TY - JOUR
T1 - RadDeploy
T2 - A framework for integrating in-house developed software and artificial intelligence models seamlessly into radiotherapy workflows
AU - Ersted Rasmussen, Mathis
AU - Dueholm Vestergaard, Casper
AU - Folsted Kallehauge, Jesper
AU - Ren, Jintao
AU - Haislund Guldberg, Maiken
AU - Nørrevang, Ole
AU - Vindelev Elstrøm, Ulrik
AU - Sofia Korreman, Stine
PY - 2024/7
Y1 - 2024/7
N2 - The use of and research in automation and artificial intelligence (AI) in radiotherapy is moving with incredible pace. Many innovations do, however, not make it into the clinic. One technical reason for this may be the lack of a platform to deploy such software into clinical practice. We suggest RadDeploy as a framework for integrating containerized software in clinical workflows outside of treatment planning systems. RadDeploy supports multiple DICOM as input for model containers and can run model containers asynchronously across GPUs and computers. This technical note summarizes the inner workings of RadDeploy and demonstrates three use-cases with varying complexity.
AB - The use of and research in automation and artificial intelligence (AI) in radiotherapy is moving with incredible pace. Many innovations do, however, not make it into the clinic. One technical reason for this may be the lack of a platform to deploy such software into clinical practice. We suggest RadDeploy as a framework for integrating containerized software in clinical workflows outside of treatment planning systems. RadDeploy supports multiple DICOM as input for model containers and can run model containers asynchronously across GPUs and computers. This technical note summarizes the inner workings of RadDeploy and demonstrates three use-cases with varying complexity.
KW - Artificial intelligence
KW - Container
KW - DAG
KW - Deploy
KW - In-house
KW - Radiotherapy
UR - http://www.scopus.com/inward/record.url?scp=85197411994&partnerID=8YFLogxK
U2 - 10.1016/j.phro.2024.100607
DO - 10.1016/j.phro.2024.100607
M3 - Journal article
C2 - 39071159
AN - SCOPUS:85197411994
SN - 2405-6316
VL - 31
JO - Physics and Imaging in Radiation Oncology
JF - Physics and Imaging in Radiation Oncology
M1 - 100607
ER -