Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.
With the earth’s warmest March on record in 175 years barely in the rearview mirror, a team of radiology experts says medical imaging must step up its sustainability efforts.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
Given the subjective nature of diagnosing concussions, it can be difficult to make the call on whether a patient needs imaging, but many doctors err on the side of caution.
This week in AJR, experts shared how they were able to reduce FDG PET scan acquisition times by 33%, thus reducing the amount of total radiation exposure to more vulnerable pediatric patients.
The American Medical Association Board of Delegates approved a policy calling on payers to reimburse for the drug regadenoson and not to employ payment policies that push for cardiologists to change the drug they use for pharmacologic stress for one that is considered less safe.
The model performed well in assessing treatment responses, but experts explained that one of the most beneficial aspects of their model was that its results are interpretable in a “clinician-friendly way.”
"Our model is a potential tool to improve the primary trisomy 21 screening based on ultrasonographic images for universal clinical application," experts involved in the study suggested.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
Raquel Roman, chair of the Radiology Business Management Association (RBMA) Young Professionals Committee, and director of growth at Essential Radiology, explains how the group mentors the next generation leaders.
![Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.](/sites/default/files/styles/stack_views/public/2024-04/screen_shot_2024-04-23_at_10.44.32_am.png.webp?itok=vXt3hxDo)
