Mammography Study: Can Stand-Alone AI Enhance Detection of Interval Breast Cancer?
Identifying over 23 percent of interval breast cancers with a 96 percent sensitivity in mammography interpretation, an emerging AI software also facilitated correct localization in over 75 percent of cases involving interval breast cancer, according to new research.
New Study Identifies Key Computed Tomography Findings for Post-Op Recurrence of Pancreatic Cancer
For patients who had post-op recurrence after a Whipple procedure for pancreatic ductal adenocarcinoma (PDAC), between 80 to 86 percent of follow-up CT exams revealed new or increased soft tissue.
FDA Clears Emerging Cardiovascular Point-of-Care Ultrasound Platform
Combining four CAD modules for valvular pathologies with a variety of automated measurements, the AI-enabled AISAP Cardio ultrasound system reportedly facilitates up to a 90 percent accuracy rate in detecting common cardiac conditions.
FDA Clears Updated AI Software for CT-Based Coronary Artery Calcium Assessment
Key features of the HealthCCSng V2.0 software include numerical coronary artery calcium (CAC) scoring, a new zero CAC category and user customization of upper and lower limits for CAC scoring categories.
New Research Highlights Emerging MRI Contrast Agent for Bladder Imaging
A new MRI contrast agent may provide a viable non-invasive alternative for the detection of interstitial cystitis, according to preliminary research presented at the 5th International Consultation on Interstitial Cystitis Japan (ICICJ) in Kyoto, Japan.
Predicting DCIS Upgrade to Invasive Breast Cancer: Can Contrast-Enhanced Ultrasound Have an Impact?
Adding two key findings from contrast-enhanced ultrasound to a predictive model of mammography, conventional ultrasound and clinicopathological findings led to a 86.1 percent AUROC for predicting the upgrading of ductal carcinoma in situ to invasive breast cancer, according to new research.
What New Research Reveals About Deep Learning and CT Angiography Detection of Cerebral Aneurysms
Providing an 85.7 percent sensitivity rate for detecting cerebral aneurysms on computed tomography angiography (CTA), the deep learning model also offered a similar AUC (93 percent) in comparison to radiology reports (91 percent).
MRI Study Offers Insights on Traumatic Brain Injury and Cerebral Microbleeds
Detecting cerebral microbleed (CMB) in one of six healthy adults in a new study, researchers also found that CMB was the only MRI marker of small vessel disease (SVD) to be significantly associated with traumatic brain injury (TBI).