Work

The Future of Artificial Intelligence in Radiation Oncology

Year: 2018

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2018.05.072

Authors: Reid F. Thompson, Gilmer Valdes, Clifton David Fuller, Colin M. Carpenter, Olivier Morin, Sanjay Aneja, William D. Lindsay, Hugo J.W.L. Aerts, Barbara Agrimson, Curtiland Deville, Seth A. Rosenthal, James B. Yu, Charles R. Thomas

Institutions: Oregon Health & Science University, VA Portland Health Care System, University of California, San Francisco, The University of Texas MD Anderson Cancer Center, Electronic Arts (United States), Yale University, University of Pennsylvania Press, Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Johns Hopkins University, Sutter Medical Center

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2806349451

FWCI: 0.478

Cites: 4

Cited by: 19

Related to: 10