The Ezra Blueprint scan reportedly includes quantitative brain measurements, coronary calcium scoring (CAC) and a full-body MRI that provides screening for over 500 conditions.
A machine-learning-based model demonstrated an 87 percent area under the curve and a 90 percent specificity rate for predicting interstitial lung abnormality on CT scans, according to new research.
In a study involving 396 confirmed neuroendocrine tumor liver metastases, researchers found that Gd-EOB-DTPA-enhanced MRI offered 19 percent higher sensitivity than polyenergetic CT.
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.
The AI-powered qCT LN Quant software reportedly generates 2D and 3D reconstructions and facilitates assessment of morphologic data across multiple thoracic studies.