The Advanced Medical Technology Association is encouraged by President Trump’s announcement April 9 of a three-month pause on…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Ultrafast breast MRI determines malignant from benign markers
Ultrafast breast MRI can differentiate between markers associated with malignancy.
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FDA clears iCat Solutions' mobile DICOM viewer
Norwich, U.K.-based mobile app firm iCat Solutions has received clearance from the U.S. FDA for its Falcon MD mobile DICOM viewer…
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Having a father with Alzheimer's could mean higher risk of the disease
Having a father with Alzheimer’s may be tied to a greater spread of the tau protein in the brain, researchers have reported.
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Shine and Sumitomo set sights on Asian markets
Shine Technologies and Sumitomo have entered an agreement focused on establishing reliable supply chains for medical isotopes.
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Private Equity Booms in Cardiology
The cost of heart disease and high-priced procedures are fueling a surge in private equity–acquired cardiovascular outpatient practices and experts discuss how this is affecting patients. Medscape Medical News
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Application of the Socioecological Model to Address Recruitment, Promotion, and Leadership Development of Women in Radiology
Women, who represent nearly 50% of medical school graduates, consistently comprise approximately 25% of radiology residency spots. Recruitment, promotion, and leadership development of radiologists from diverse backgrounds is important for continued growth of the field. Despite major radiological societies and journals championing this cause across all practice levels, efforts to improve diversity in the field have been limited. The socioecological model (SEM) has been used to address challenges…
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Keeping AI on Track: Regular monitoring of algorithmic updates in mammography
Artificial intelligence (AI) algorithms interpreting screening mammography exhibit diagnostic performance that can match or supersede human performance [1]. Unlike traditional medical products, AI is more fluid and can change overtime [2]. Although seen as a fundamental advantage of machine learning, this fluidity carries inherent risks. Prospective clinical trials are essential to understand the impact of AI on screening workflows before their implementation [3]. However, once implemented into …