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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
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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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8 ways for radiology to improve environmental sustainability

AuntMinnie

notedthat healthcare delivery contributes directly to the climate crisis, through greenhouse gas emissions due to the production and operation of medical equipment, the generation of medical and nonmedical waste, and contamination of water supplies. A team led by Andrea Rockall, MD, ofImperial College London in the U.K.,

Radiology 200
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Swiss team produces 1st 3D PET/MRI image

AuntMinnie

"Historically, [cinematic rendering] has primarily centered on CT images, with sporadic instances noted in PET/CT; however, its use in PET/MR remains unreported to date," the group wrote. The article was published on July 1 in the European Journal of Nuclear Medicine and Molecular Imaging and featured as the journal's Image of the Month.

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Roadmap to Fair AI: Revealing Biases in AI Models for Medical Imaging

Imaging Technology

In particular, AI/ML models are finding increasing applications in the analysis of medical images. This includes X-ray , computed tomography , and magnetic resonance images. A key requirement for the successful implementation of AI/ML models in medical imaging is ensuring their proper design, training, and usage.

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Reimbursement issues give impetus to AI adoption

AuntMinnie

The medical imaging AI market is forecast to reach almost $2 billion by 2027. The market has yet to see widespread adoption of medical AI technologies, which requires widespread adoption for patient use (volumes), demand from referrers (awareness), and appropriate payment to providers (reimbursement). Parekh, PhD. In the U.S.

Insurance 287
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Meet the Minnies 2024 finalists

AuntMinnie

In the 1980s, he worked in 3D imaging with Pixar Animation Studios; he owns and runs an educational website called Ctisus, and the Ctisus family of mobile apps has earned five Minnies for Best Educational Mobile App. In 2018 he received an endowed professorship from the university.