Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer-Reference-Cited by-同舟云学术

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Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer

Published:2021-06 Issue:6 Volume:27 Page:999-1005
ISSN:1078-8956
Container-title:Nature Medicine
language:en
Short-container-title:Nat Med

Author:

McIntosh Chris^ORCID,Conroy Leigh,Tjong Michael C.,Craig Tim,Bayley Andrew,Catton Charles,Gospodarowicz Mary,Helou Joelle,Isfahanian Naghmeh^ORCID,Kong Vickie,Lam Tony,Raman Srinivas,Warde Padraig,Chung Peter,Berlin Alejandro^ORCID,Purdie Thomas G.^ORCID

Funder

Gouvernement du Canada | Canadian Institutes of Health Research

Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada

Princess Margaret Cancer Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://www.nature.com/articles/s41591-021-01359-w.pdf

Reference36 articles.

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2. Nagendran, M. et al. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. Brit. Med. J. 368, m689 (2020).

3. Shilo, S., Rossman, H. & Segal, E. Axes of a revolution: challenges and promises of big data in healthcare. Nat. Med. 26, 29–38 (2020).

4. McKinney, S. M. et al. International evaluation of an AI system for breast cancer screening. Nature 577, 89–94 (2020).

5. Ardila, D. et al. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat. Med. 25, 954–961 (2019).

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