AAPM VL-Big Data in Radiation Oncology

2016 AAPM Annual Meeting - Session: Big Data in Radiation Oncology

Overview of the ASTRO-NIH-AAPM 2015 Workshop On Exploring Opportunities for Radiation Oncology in the Era of Big Data
Stanley Benedict, PhD University of California Davis Medical Center

Handout(s):

115-31831-387514-118320.pdf

When you have finished the video, you may watch again, browse/search all videos, go back to the previous page, or watch another video in this session (see below). add this video to a playlist.

There is a quiz associated with this video in our Online Continuing Education Center. Please click here to try the quiz.

All videos in this session:

	Where Do We Stand in the Applications of Big Data in Radiation Oncology? - Lei Xing, PhD Stanford University School of Medicine
	Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success - Todd McNutt, PhD Johns Hopkins University
	Q & A -

Graph includes 259 member loads and 3933 non-member loads (4192 total loads). Exclude non-member? A load is defined as someone coming to this page, not necesarily that they pressed play, or watched the entire presentation.

AAPM is the American Association of Physicists in Medicine.
1631 Prince Street
Alexandria, VA 22314
Phone 571-298-1300
Fax 571-298-1301 
Send general questions to 2025.aapm@aapm.org

AAPM's Privacy Policy
Use of the site constitutes your acceptance to its terms and conditions.

AAPM is a scientific, educational, and professional nonprofit organization devoted to the discipline of physics in medicine. The information provided in this website is offered for the benefit of its members and the general public, however, AAPM does not independently verify or substantiate the information provided on other websites that may be linked to this site.

AAPM Virtual Library

2016 AAPM Annual Meeting - Session: Big Data in Radiation Oncology