Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance

Liesbeth Vandewinckele; Michael Claessens; Anna Dinkla; Charlotte Brouwer; Wouter Crijns; Dirk Verellen; Wouter van Elmpt

doi:10.1016/j.radonc.2020.09.008

Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance

Liesbeth Vandewinckele, Michael Claessens, Anna Dinkla^*, Charlotte Brouwer, Wouter Crijns, Dirk Verellen, Wouter van Elmpt

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

27 Citations (Web of Science)

Original language	English
Pages (from-to)	55-66
Number of pages	12
Journal	Radiotherapy and Oncology
Volume	153
DOIs	https://doi.org/10.1016/j.radonc.2020.09.008
Publication status	Published - Dec 2020

Keywords

Artificial intelligence
Radiotherapy
Commissioning
Quality assurance
Auto-contouring
Treatment planning
CONVOLUTIONAL NEURAL-NETWORK
MODULATED ARC THERAPY
RADIATION-THERAPY
AT-RISK
OPTIMIZATION ENGINE
ACCURATE PREDICTION
PLAN QUALITY
BIG DATA
HEAD
NECK

Access to Document

10.1016/j.radonc.2020.09.008Licence: CC BY

Cite this

@article{d00c9086e8ea4c2ebcb8c29678f82eec,

title = "Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance",

keywords = "Artificial intelligence, Radiotherapy, Commissioning, Quality assurance, Auto-contouring, Treatment planning, CONVOLUTIONAL NEURAL-NETWORK, MODULATED ARC THERAPY, RADIATION-THERAPY, AT-RISK, OPTIMIZATION ENGINE, ACCURATE PREDICTION, PLAN QUALITY, BIG DATA, HEAD, NECK",

author = "Liesbeth Vandewinckele and Michael Claessens and Anna Dinkla and Charlotte Brouwer and Wouter Crijns and Dirk Verellen and {van Elmpt}, Wouter",

year = "2020",

month = dec,

doi = "10.1016/j.radonc.2020.09.008",

language = "English",

volume = "153",

pages = "55--66",

journal = "Radiotherapy and Oncology",

issn = "0167-8140",

publisher = "Elsevier Ireland Ltd",

}

Overview of artificial intelligence-based applications in radiotherapy : Recommendations for implementation and quality assurance. / Vandewinckele, Liesbeth; Claessens, Michael; Dinkla, Anna; Brouwer, Charlotte; Crijns, Wouter; Verellen, Dirk; van Elmpt, Wouter.

In: Radiotherapy and Oncology, Vol. 153, 12.2020, p. 55-66.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Overview of artificial intelligence-based applications in radiotherapy

T2 - Recommendations for implementation and quality assurance

AU - Vandewinckele, Liesbeth

AU - Claessens, Michael

AU - Dinkla, Anna

AU - Brouwer, Charlotte

AU - Crijns, Wouter

AU - Verellen, Dirk

AU - van Elmpt, Wouter

PY - 2020/12

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KW - Artificial intelligence

KW - Radiotherapy

KW - Commissioning

KW - Quality assurance

KW - Auto-contouring

KW - Treatment planning

KW - CONVOLUTIONAL NEURAL-NETWORK

KW - MODULATED ARC THERAPY

KW - RADIATION-THERAPY

KW - AT-RISK

KW - OPTIMIZATION ENGINE

KW - ACCURATE PREDICTION

KW - PLAN QUALITY

KW - BIG DATA

KW - HEAD

KW - NECK

U2 - 10.1016/j.radonc.2020.09.008

DO - 10.1016/j.radonc.2020.09.008

M3 - Article

C2 - 32920005

VL - 153

SP - 55

EP - 66

JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

SN - 0167-8140

ER -