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Are ‘super phantoms’ key to advancing medical imaging?

AuntMinnie

Developing and testing a new class of “super phantoms” is needed to optimize new medical imaging techniques before they are used in human studies, according to an article published May 24 in Communications Engineering. Phantoms are test objects used for initial testing and optimization of medical imaging techniques.

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10 Favorite Medical Imaging Articles 2024

Atlantis Worldwide

Keeping up with the latest technology, issues, and changes in medical imaging can be challenging. At Atlantis Worldwide, we decided to simplify things for you.

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RadiologyInfo.org introduces new series of patient-facing articles

AuntMinnie

RadiologyInfo.org , a source of medical imaging information for the general public, has introduced a new series of articles and videos to help patients understand their radiology exam reports. In the videos, radiologists share some common findings while displaying sample imaging exams.

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8 ways for radiology to improve environmental sustainability

AuntMinnie

The group called on radiological societies, funding agencies, society publications, and research institutions to prioritize research on solutions for the environmental impacts of medical imaging and technological advances such as AI, as well as new approaches to sustainability.

Radiology 201
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Top 3 Medical Imaging Insights from RSNA 2023

Everything Rad

This year’s annual Radiological Society of North America (RSNA) conference came at what felt like a pivotal moment in the medical imaging world. Yet medical imaging teams still face significant changes and pressures. Cross-training also needs to be more prominent in medical imaging staffing strategies.

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Great Articles for Your Summer Reading

Atlantis Worldwide

Summer is nearing the end and we are hoping you are relaxing with some time put aside to read these most interesting medical imaging articles.

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Radiology departments can adopt responsible frameworks to deploy AI

AuntMinnie

Adopting a responsible framework could help overcome challenges in applying AI to medical imaging, according to an article published in the Canadian Journal of Cardiology. This approach aims to increase the evaluation of AI models by making their integration and validation easier with existing medical imaging databases.

PACS 306