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Mimicking human vision: The new standard for medical image fidelity

AuntMinnie

Medical imaging is the economic artery of modern diagnostics, with AI-driven advancements prompting clinicians to rethink how they interpret scans. For instance, the global medical imaging AI market 1 is projected to expand eightfold by 2030, reaching an estimated $8.18 Ravinder Singh.

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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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HOPPR launches beta medical imaging AI platform powered by Amazon Web Services

AuntMinnie

HOPPR, a Health2047 company, is using the RSNA venue to launch Grace, a multimodal foundation model developed for image-to-image and text-to-image learning across all imaging modalities. Dubbed Grace, the B2B foundation model enables image-to-image and text-to-image learning across all medical imaging modalities.

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4 Trends in medical imaging in 2024: Breakthroughs in radiology productivity

AuntMinnie

Read on for our views on how standardized, adaptable infrastructure for medical imaging AI will ultimately improve the efficiency and precision of radiological assessments. AI can be leveraged to make incremental improvements at every stage of the medical imaging pipeline, beyond the tasks well-suited for a large language model.

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Deep learning combines breast imaging data to predict cancer prognosis

AuntMinnie

Deep-learning models could have potential as predictive tools for breast cancer prognosis, a study published January 17 in Clinical Breast Cancer has found. They collected imaging data to establish deep-learning models using ResNet50. This means the combined model could predict prognosis after surgery.

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Embargoed for 2/27/2024, 10 a.m. ET: Imaging AI yields opportunities, challenges in sustainability

AuntMinnie

AI yields much promise in medical imaging, but radiology leaders should be cognizant of the technology’s environmental impact, according to a paper published February 27 in Radiology. With this in mind, medical imaging should manage greenhouse gas emissions while addressing health effects related to climate change.

Imaging 327
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Radiologists can take steps toward environmental sustainability

AuntMinnie

Through the production and use of medical imaging equipment and supplies, radiology is estimated to generate up to 1% of overall greenhouse gas emissions, the researchers highlighted. The researchers also suggested that decision-support tools can be implemented to choose lower-energy imaging tests when appropriate.