AAPM VL-Emerging Computational Methods (AI) - Methodology, gaps, and promises for the future Q & A

2022 IMRT - Session: Emerging Computational Methods (AI) - Methodology, gaps, and promises for the future Q & A

Q & A

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.

All videos in this session:

	Opportunities and cautions to advance IMRT QA with AI - Dan Ruan, PhD, UCLA School of Medicine
	Finding the right fit for AI in IMRT QA - Alon Witztum, MS, University of California, San Francisco

Graph includes 2 member loads and 123 non-member loads (125 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 2024.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

2022 IMRT - Session: Emerging Computational Methods (AI) - Methodology, gaps, and promises for the future Q & A