Computer-aided detection (CAD) developer Riverain Medical of Miamisburg, OH, has received the European CE Mark and Canadian device licenses for its OnGuard chest x-ray CAD software and SoftView enhanced chest imaging technology.
OnGuard enables radiologists to analyze digital chest x-rays to identify solitary pulmonary nodules that may be early-stage lung cancer. SoftView is designed to create an enhanced soft-tissue image of the chest by suppressing bone on a standard chest x-ray to help detect and diagnose medical conditions, such as pulmonary nodules, pneumothoraces, and improperly placed lines and tubes.
Both products now are commercially available to clinicians in the European Union and Canada.
Related Reading
Road to RSNA, CAD, Riverain Medical, October 30, 2008
Riverain gets VA contract, July 23, 2008
Cleveland Clinic, Riverain to evaluate chest x-ray CAD, November 27, 2007
Road to RSNA, CAD, Riverain Medical, November 1, 2007
Road to RSNA, CAD, Riverain Medical, November 3, 2006
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
