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 ...
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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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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Scientists from the University of California San Diego and Washington University School of Medicine in St. Louis have developed a powerful new way to look inside kidney tissues—without needing to stain or damage the tissue ...
May 19, 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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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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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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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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A type of artificial intelligence called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published today in Radiology. Researchers said the findings ...
May 20, 2025
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