Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO)-Reference-Cited by-同舟云学术

Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO)

Published:2023-09-23 Issue:1 Volume:129 Page:133-151
ISSN:1826-6983
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Boldrini Luca,D’Aviero Andrea,De Felice Francesca,Desideri Isacco,Grassi Roberta,Greco Carlo,Iorio Giuseppe Carlo,Nardone Valerio,Piras Antonio^ORCID,Salvestrini Viola

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11547-023-01708-4.pdf

Reference117 articles.

1. Ramesh AN, Kambhampati C, Monson JRT, Drew PJ (2004) Artificial intelligence in medicine. Ann R Coll Surg Engl 86:334–338. https://doi.org/10.1308/147870804290

2. Vandewinckele L, Claessens M, Dinkla A et al (2020) Overview of artificial intelligence-based applications in radiotherapy: recommendations for implementation and quality assurance. Radiother Oncol 153:55–66. https://doi.org/10.1016/j.radonc.2020.09.008

3. Huynh E, Hosny A, Guthier C et al (2020) Artificial intelligence in radiation oncology. Nat Rev Clin Oncol 17:771–781. https://doi.org/10.1038/s41571-020-0417-8

4. Cesario A, D’Oria M, Calvani R et al (2021) The role of artificial intelligence in managing multimorbidity and cancer. J Pers Med 11:314. https://doi.org/10.3390/jpm11040314

5. Cusumano D, Lenkowicz J, Votta C et al (2020) A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases. Radiother Oncol 153:205–212. https://doi.org/10.1016/j.radonc.2020.10.018

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