A new study from Mount Sinai's Department of Radiation Oncology reveals that most new radiation oncologists—doctors who treat cancer with radiation—are choosing to work in large metropolitan areas rather than in rural ...
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Moving beyond traditional methods of observing thinly sliced and stained cancer tissues, a collaborative international research team led by KAIST has successfully developed a new technology. This innovation uses advanced ...
May 26, 2025
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In a clinical pilot study, researchers from the Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital (MGH) have validated a novel, noninvasive method for measuring central venous pressure (CVP) using ...
May 23, 2025
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Diabetes is characterized by the pancreas producing too little insulin, but there is a rarer condition in which it produces too much. A hormone-producing tumor originating in the pancreas—an insulinoma—is the cause. Patients ...
May 22, 2025
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In women with dense breasts (breasts with relatively low levels of fatty tissue) and a negative mammogram, supplemental imaging techniques detect early-stage cancers, with imaging techniques three times more effective than ...
May 22, 2025
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University of Alabama at Birmingham-led researchers have refined and validated a new framework for diagnosing chronic obstructive pulmonary disease (COPD), identifying individuals at risk for severe respiratory outcomes who ...
Experts from the University of Nottingham have proven that multiple sclerosis (MS) can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture.
May 20, 2025
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On a daily basis, a radiologist in the U.S. pores over 150–200 X-rays. Their specialty is so important that researchers are now trying to get in front of where they will look next—what area of the image they will next ...
May 20, 2025
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Abbreviated breast MRI shortens exam time while retaining a high level of diagnostic accuracy of breast cancer in women with extremely dense breasts, according to an article published today in Radiology.
May 20, 2025
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Radiologists, computer scientists and informaticists outline pitfalls and best practices to mitigate bias in artificial intelligence (AI) models in an article published today in Radiology.
May 20, 2025
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