Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?
A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.
Emerging Radiology Research May Shed Light on Blocked Fallopian Tubes
Selective salpingography may provide enhanced assessment of fallopian tubes and fallopian tube recanalization could be a viable alternative to facilitate natural conception, according to new research from the Department of Radiology at the University of British Columbia.
In a newly published statement, the American College of Radiology cited questionable literature support for the recent FDA guidance and noted potential consequences ranging from diagnosis delays due to parental anxiety about contrast-enhanced computed tomography (CECT) and increased health care costs.
Study Suggests the COVID-19 Pandemic Led to Millions of Decreased Cancer Screenings
A new survey study from the American Cancer Society shows a 4.47 million decrease in cervical cancer screenings and a 2.13 million decrease in breast cancer screenings in the United States between 2018 and 2020.
Lessons Learned from the Iodinated Contrast Media Shortage: A Neuroradiologist's Perspective
In a recent video interview on the current iodinated contrast media shortage, neuroradiologist Sean Bryant, MD discussed imaging alternatives, emphasized communication with referring physicians on optimal studies, and discussed the ongoing need to prevent “protocol creep” with timely updates of imaging protocols.
Can Diffusion-Weighted MRI Have an Impact in Detecting Recurrent Pancreatic Cancer?
For post-op monitoring of patients who had pancreatic ductal adenocarcinoma (PDAC) resection, a new study showed that diffusion-weighted magnetic resonance imaging (MRI) had enhanced sensitivity for detecting recurrent tumors in comparison to conventional MRI.
Study Looks at Deep Radiomics Approach for Diagnosing Osteoporosis on Hip X-Rays
Deep radiomics models that included deep learning features had a 40 percent or greater increase in the specificity rate for diagnosing osteoporosis on hip radiographs in comparison to models that only emphasized clinical and/or textural features.
PE Triage Platform from RapidAI Receives FDA 510(k) Clearance
The new artificial intelligence-powered software reportedly helps detect central pulmonary embolism (PE) on computed tomography pulmonary angiogram (CTPA) images and streamlines communication among interventional teams to bolster treatment outcomes.