Top People to Watch in Radiology 2015
[[{"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.
How to Successfully Launch a CCTA Program at Your Hospital or Practice
June 11th 2025Emphasizing increasing recognition of the capability of coronary computed tomography angiography (CCTA) for the evaluation of acute and stable chest pain, this author defuses common misperceptions and reviews key considerations for implementation of a CCTA program.
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.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
