Breast cancer screening using digital breast tomosynthesis has risen rapidly in the United States, but that isn’t the case in all regions or across all institutions, according to a new study published in Current Problems in Diagnostic Radiology.
Can a virtual world instill the same level of knowledge in radiology students as a traditional face-to-face classroom approach? Researchers of a new study published in the American Journal of Roentgenology think so.
The algorithm improved the specificity of thyroid biopsy recommendations, beating seven of nine radiologists. With more research, the algorithm could help in the decision-making process for assessing thyroid nodules.
Contrast-enhanced spectral mammography (CESM) can be a helpful method to screen for postoperative breast cancer when paired with traditional mammography, according to research published July 6 in Clinical Radiology.
A new ultrasound method called passive cavitation imaging (PCI) can create an image estimating the amount of a drug that has crossed the blood-brain barrier (BBB), according to new research conducted at Washington University in St. Louis.
While AI wasn’t the only topic discussed during the SIIM 2019 annual meeting, every issue seemed to be tied to the emerging technology in one way or another.
Long wait times for diagnostic imaging is hurting both patients and the country as a whole, argued Michael Barry, president of the Canadian Association of Radiologists, in a recent opinion piece published by the Journal Pioneer.
Dynamic contrast-enhanced (DCE) MRI can help measure the permeability of the blood-brain barrier (BBB) in areas of the brain associated with migraines, potentially providing insight into the debilitating headaches and other neurovascular disorders.
The American Society of Radiologic Technologists (ASRT) Board of Directors announced more research is needed before recommending the removal of gonadal and fetal shielding during x-rays, despite another medical association’s call to end the practice.
Data security has become a serious issue in the U.S., not only for big tech companies like Facebook, but for vendors and institutions looking to use patient imaging information to develop AI platforms.
