Synopsis

The rise of cloud-based computing has heralded a fundamental shift in the way radiology evaluates images. In large part, this is not due to development of new imaging analysis tools, but rather automation of these tools using basic imaging analysis tools which have been well developed in the research setting. The standardization brought about by lack of user interaction has impacted how these imaging tools are validated and how findings are disseminated. Further benefits from automation may help to reduce monotony while supporting the high efficiency expected of radiology.