From the Society of Nuclear Medicine meeting, an audio interview with Jeff Grenier, director of marketing and sales for Stockholm-based Hermes Medical Solutions, about the company’s plans for referring physician outreach and expansion into PACS.
For the past 30 years, Hermes Medical Solutions has been instrumental in connecting the myriad pieces that permit image postprocessing. At the 2006 Society of Nuclear Medicine meeting, Jeff Grenier, director of marketing and sales for Stockholm-based Hermes, explained how the company is extending its reach by distributing image fusion through licenses to referring physicians and others. It is the company's first foray into the PACS arena, as Hermes offers the software through the use of a server and archive. Hear in two minutes why this kind of sharing is critical.
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: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
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.