TY - JOUR
T1 - From multisource data to clinical decision aids in radiation oncology
T2 - The need for a clinical data science community
AU - Kazmierska, Joanna
AU - Hope, Andrew
AU - Spezi, Emiliano
AU - Beddar, Sam
AU - Nailon, William H.
AU - Osong, Biche
AU - Ankolekar, Anshu
AU - Choudhury, Ananya
AU - Dekker, Andre
AU - Redalen, Kathrine Røe
AU - Traverso, Alberto
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2020/12
Y1 - 2020/12
N2 - Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscovered knowledge can be found in massive data collections. The radiation oncology clinic daily produces a large amount of multisource data and metadata during its routine clinical and research activities. These data involve multiple stakeholders and users. Because of a lack of interoperability, most of these data remain unused, and powerful insights that could improve patient care are lost. Changing the paradigm by introducing powerful AI analytics and a common vision for empowering big data in radiation oncology is imperative. However, this can only be achieved by creating a clinical data science community in radiation oncology. In this work, we present why such a community is needed to translate multisource data into clinical decision aids.
AB - Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscovered knowledge can be found in massive data collections. The radiation oncology clinic daily produces a large amount of multisource data and metadata during its routine clinical and research activities. These data involve multiple stakeholders and users. Because of a lack of interoperability, most of these data remain unused, and powerful insights that could improve patient care are lost. Changing the paradigm by introducing powerful AI analytics and a common vision for empowering big data in radiation oncology is imperative. However, this can only be achieved by creating a clinical data science community in radiation oncology. In this work, we present why such a community is needed to translate multisource data into clinical decision aids.
KW - Artificial intelligence
KW - Big data
KW - Data science
KW - Personalized treatment
KW - Radiotherapy
KW - Shared decision making
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U2 - 10.1016/j.radonc.2020.09.054
DO - 10.1016/j.radonc.2020.09.054
M3 - Review article
C2 - 33065188
AN - SCOPUS:85094835116
SN - 0167-8140
VL - 153
SP - 43
EP - 54
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
ER -