News

Machine learning (ML) has become one of the hottest topics in radiology and all of healthcare, but reading the latest and greatest ML research can be difficult, even for experienced medical professionals. A new analysis published in the American Journal of Roentgenology was written with that very problem in mind.
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A natural language processing (NLP) and machine learning algorithm was trained to evaluate…
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Gauss Surgical, a Los Altos, California-based healthcare technology company, announced that it…
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Social media is used by radiologists at Johns Hopkins Aramco Healthcare in Saudi Arabia less as a…
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Incomplete thyroid ultrasound (US) radiology reports cause "confusion and discrepancy"…
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Healthcare providers are always working to improve patient awareness and engagement when it comes…
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Primary care physicians who order a large number of one low-value screening test tend to order…
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There is a gender gap in the editorial boards of radiology journals, according to new research…
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Kinetic imaging provides specialists with better overall image quality than digital subtraction…
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The University of Texas at Arlington (UTA) was awarded U.S. and international patents on a…
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Dr. Thomas Mammen, a radiologist currently working in Brandon, Manitoba, Canada, is suing the…
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The Medical Imaging & Technology Alliance (MITA) has issued a statement in support of new…
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The European Society of Radiology announced that abstract submissions for the 2019 European…