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Case Western Reserve Researchers land $1.125 million National Science Foundation Grant to Advance Safer, Faster and Less Expensive Medical-imaging Technology

Imaging Technology

milla1cf Thu, 01/04/2024 - 10:47 January 4, 2024 — Diagnosing cancer today involves using chemical “contrast agents” to improve the accuracy of medical imaging processes such as X-rays as well as computed tomography (CT) and magnetic resonance imaging (MRI) scans.

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Radiology leadership changes to begin in the new year

AuntMinnie

University of Wisconsin In December, the University of Wisconsin (UW) School of Medicine and Public Health named Scott Reeder, MD, PhD, chair of the department of radiology. Reeder's term becomes effective in early 2024, according to UW. Matthew DeVries, MD, will lead UNMC's department of radiology on an interim basis.

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Radiology leadership changes to begin in the new year

AuntMinnie

University of Wisconsin In December, the University of Wisconsin (UW) School of Medicine and Public Health named Scott Reeder, MD, PhD, chair of the department of radiology. Reeder's term becomes effective in early 2024, according to UW. Matthew DeVries, MD, will lead UNMC's department of radiology on an interim basis.

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Guerbet Wins PI-CAI Grand Challenge on Detection of Prostate Cancer

Imaging Technology

Diagnosis of prostate cancer, a public health issue The second male cancer according to the WHO , prostate cancer , with 1.4 Magnetic resonance imaging ( MRI ) plays an increasingly important role in the early diagnosis of prostate cancer. million new cases each year worldwide, accounts for 6.8%

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Meet the Minnies 2024 semifinal candidates

AuntMinnie

tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image. Horowitz, et al, Medical Hypotheses , October 13, 2023.

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Journal Scan – This Month in Other Journals, June 2023

AJNR

Can AI and machine learning–driven care meet these standards — ones that we demand from a novel therapeutic intervention or laboratory-based diagnostic test — or do we need to have a unique set of standards for this type of intervention? This raises the question of whether such algorithms should include consideration of public health (i.e.,

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