An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication-Reference-Cited by-同舟云学术

An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication

Published:2021-07 Issue:7 Volume:2 Page:709-722
ISSN:2662-1347
Container-title:Nature Cancer
language:en
Short-container-title:Nat Cancer

Author:

Morin Olivier^ORCID,Vallières Martin^ORCID,Braunstein Steve,Ginart Jorge Barrios,Upadhaya Taman,Woodruff Henry C.^ORCID,Zwanenburg Alex^ORCID,Chatterjee Avishek,Villanueva-Meyer Javier E.,Valdes Gilmer,Chen William,Hong Julian C.^ORCID,Yom Sue S.^ORCID,Solberg Timothy D.,Löck Steffen^ORCID,Seuntjens Jan,Park Catherine,Lambin Philippe^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Link

http://www.nature.com/articles/s43018-021-00236-2.pdf

Reference65 articles.

1. Arbabshirani, M. R. et al. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ Digit. Med. 1, 9 (2018).

2. Esteva, A. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115–118 (2017).

3. Ehteshami Bejnordi, B. et al. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. JAMA 318, 2199–2210 (2017).

4. Stidham, R. W. et al. Performance of a deep learning model vs human reviewers in grading endoscopic disease severity of patients with ulcerative colitis. JAMA Netw. Open 2, e193963 (2019).

5. Gulshan, V. et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. J. Am. Med. Assoc. 316, 2402–2410 (2016).

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