A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Vision 20/20: Automation and advanced computing in clinical radiation oncology
2013
Medical Physics (Lancaster)
This Vision 20/20 paper considers what computational advances are likely to be implemented in clinical radiation oncology in the coming years and how the adoption of these changes might alter the practice of radiotherapy. Four main areas of likely advancement are explored: cloud computing, aggregate data analyses, parallel computation, and automation. As these developments promise both new opportunities and new risks to clinicians and patients alike, the potential benefits are weighed against
doi:10.1118/1.4842515
pmid:24387492
fatcat:k2vzrfhvarflhknm7762vjjqce