AI Collection

Journal article

Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence

Abstract:: OBJECTIVES: To navigate the field of digital cancer care and define and discuss key aspects and applications of big data analytics, artificial intelligence (AI), and data-driven interventions. DATA SOURCES: Peer-reviewed scientific publications and expert opinion. CONCLUSION: The digital transformation of cancer care, enabled by big data analytics, AI, and data-driven interventions, presents a significant opportunity to revolutionize the field. An increased understanding of the lifecycle and ethics of data-driven interventions will enhance development of innovative and applicable products to advance digital cancer care services. IMPLICATION FOR NURSING PRACTIC

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Share
Cite

Cite this record

APA Style

Xu, H., Deng, L., Tian, R., & Ma, X. (2021). Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence. Frontiers in Oncology, 11.

MLA Style

Xu, H, et al. “Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence.” Frontiers in Oncology, vol. 11, 2021.

Chicago Style

Xu, H, L Deng, R Tian, and X Ma. 2021. “Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence.” Frontiers in Oncology 11.
Print

Access Document

Files:: Xu_et_al_2021_Editorial_Novel_Methods.pdf

(Preview, Version of record, pdf, 188.4KB, Terms of use)

Publisher copy:: 10.3389/fonc.2021.628310

Authors

+ Xu, H More by this author

Role:: Author
ORCID:: 0000-0002-9905-5874

+ Deng, L More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0003-2869-1619

+ Tian, R More by this author

Role:: Author
ORCID:: 0000-0002-5191-9004

+ Ma, X More by this author

Role:: Author
ORCID:: 0000-0002-9148-5001

Publisher:: Frontiers Media
Journal:: Frontiers in Oncology More from this journal
Volume:: 11
Article number:: ARTN 628310
Publication date:: 2021-07-22
DOI:: 10.3389/fonc.2021.628310
EISSN:: 2234-943X
ISSN:: 2234-943X

Language:: English
Keywords:: Cancer Imaging
Pubs id:: 2301731
Local pid:: pubs:2301731
Source identifiers:: W3189456046
Deposit date:: 2025-10-25
ARK identifier:: ark:/29072/ora_71ad4a7f17144a60902f49869509ed06

Terms of use

Copyright date:: 2021

Licence:: CC Attribution (CC BY)

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP