In August 2018, a workshop was held at the National Institutes of Health (NIH) in Bethesda, Md., to explore the future of artificial intelligence (AI) in medical imaging. The workshop was co-sponsored by NIH, the Radiological ...
Apr 16, 2019
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Cancer presents an ongoing challenge for physicians, particularly in the diagnosis and treatment of the disease. This is due to tumor heterogeneity, among other things. A team of scientists from the Helmholtz Zentrum Muenchen, ...
Mar 14, 2019
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University of Saskatchewan PhD student Yi Wang developed software that can get higher image quality. It improves current computer-aided diagnosis (CADx) technology, which assists doctors to detect diseases from medical imaging ...
Mar 5, 2019
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Radiologists may play a crucial role in identifying signs of intimate partner violence, a type of domestic violence, according to a study published in the journal Radiology. Radiologists can identify potential violence-related ...
Feb 5, 2019
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Two new studies being presented this week at the annual meeting of the Radiological Society of North America (RSNA) address the potential risk of cyberattacks in medical imaging.
Nov 27, 2018
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A team of researchers affiliated with several institutions in the U.S. has developed a way to test surgical competency by using brain imaging technology to analyze the brains of surgeons in action. In their paper published ...
Researchers from the University of Adelaide's Australian Institute for Machine Learning (AIML) are developing a fully automated medical image analysis program to detect breast tumours. The program uses a unique style to focus ...
Sep 6, 2018
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(HealthDay)—Doctors' intuition plays a role in determining how many imaging tests are ordered for a patient, according to research presented at the 40th International Conference of the IEEE Engineering in Medicine and Biology ...
Aug 23, 2018
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The inner workings of the teenage brain are now slightly less mysterious, thanks to a research team led by University of Delaware engineers.
Aug 7, 2018
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With artificial intelligence, machines can now examine thousands of medical images – and billions of pixels within these images – to identify patterns too subtle for a radiologist or pathologist to identify.
Jul 17, 2018
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