[[{"type":"media","view_mode":"media_crop","fid":"41089","attributes":{"alt":"Top People to Watch in Radiology","class":"media-image media-image-right","id":"media_crop_9625156528156","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"4287","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"height: 233px; width: 250px; float: right;","title":" ","typeof":"foaf:Image"}}]]Diagnostic Imaging’s “Top People to Watch in Radiology” contest profiles the radiologist, technologist, researcher, and group proven to be superstars in medical imaging.
Nominate the radiology professional or group that stand out from the crowd for doing something different and great, and you’ll be entered into a raffle to win a $100 gift card.
Nominations for the group category must be a group of practicing radiologists.
We’ll post the nominees for the “Top People to Watch in Radiology” and let our readers vote on who gets the honors. Nominees must be US-based. We’ll be accepting nominations through October 11, 2015.
Read full contest rules here.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Current Perspectives on Radiology Workforce Issues and Potential Solutions
March 14th 2024Emphasizing the gravity of the ongoing workforce shortage in radiology, these authors recommend a change agenda focusing on expanded numbers of residency positions, reassessment of educational pathways, maintaining a strong presence in hospital settings and practice level initiatives to reduce administrative burden and achieve appropriate reimbursement beyond RVU measurements.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.