Difference between revisions of "Call for Identification of Medical Image Computing Grant Applications"
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Our goal is to use the existing policies and governance to create a completely valid avenue for Medical Image Computing grant applications to compete against others in this field on equal footing and for the NIH reviewers to select the best science and engineering in this field with the highest potential to improve medical care. This will improve the system relative to the current state where Medical Image Computing applications are sent to many other study sections and are evaluated by reviewers largely outside the field. | Our goal is to use the existing policies and governance to create a completely valid avenue for Medical Image Computing grant applications to compete against others in this field on equal footing and for the NIH reviewers to select the best science and engineering in this field with the highest potential to improve medical care. This will improve the system relative to the current state where Medical Image Computing applications are sent to many other study sections and are evaluated by reviewers largely outside the field. | ||
| − | + | =Actions Requested= | |
| − | + | * Please mention [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing] in the summary and the keywords of all your future grant applications to NIH. | |
| + | * Review the wikipedia page on [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing]. Improve the wikipedia page, where appropriate. | ||
=Signed= | =Signed= | ||
#[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis] | #[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis] | ||
Revision as of 18:27, 3 September 2012
Home < Call for Identification of Medical Image Computing Grant ApplicationsMedical Image Computing is a young field of research. To the best of our knowledge, there is no study section at NIH specializing on this topic. This is in contrast to the well established field of Medical Imaging, which is focused on improving image acquisition and reconstruction and has its own specialized study section.
We would like to raise the visibility of the field of medical image computing with the long term goal of creating a study section focused on our field. NIH needs evidence that enough grants on the topic are submitted at sufficient frequency to initiate this process. The typical threshold is around 20 submissions per cycle. Typically, there is first the creation of an ad-hoc study section, which can later be converted to a permanent study section if the stream of applications is sustained over several application cycles.
This is a call to the MIC community in the United States. When submitting a grant application to NIH, please mention the term Medical Image Computing in your grant summary/abstract and keywords. You don't need to do anything else differently, just add the keyword to the text. If, as a community, we can sustain the volume of applications that are labeled like this, then we can lobby for the process to begin.
Our goal is to use the existing policies and governance to create a completely valid avenue for Medical Image Computing grant applications to compete against others in this field on equal footing and for the NIH reviewers to select the best science and engineering in this field with the highest potential to improve medical care. This will improve the system relative to the current state where Medical Image Computing applications are sent to many other study sections and are evaluated by reviewers largely outside the field.
Actions Requested
- Please mention Medical Image Computing in the summary and the keywords of all your future grant applications to NIH.
- Review the wikipedia page on Medical Image Computing. Improve the wikipedia page, where appropriate.
