RSNA newcomer offers cut-rate 3D
FiatLux Imaging leveraged advances in the video gaming industry to develop software for processing 3D medical images, a product made to order for tight budgets.
FiatLux Imaging leveraged advances in the video gaming industry to develop software for processing 3D medical images, a product made to order for tight budgets. With a license price under $3000, Visualize 3D is affordable for "anywhere, anytime" imaging on PC laptops and tablets, possibly even Palm computers, according to the company. RSNA newcomer FiatLux, which was founded only 18 months ago, exhibited the package at RSNA 2008, demonstrating its ability to analyze CT and MR images by taking advantage of DirectX game programming technologies.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Can CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.
