(Booth 203) Look for this Princeton, NJ, company to highlight an enterprise-based version of its computer-aided detection (CAD) software for analyzing chest studies acquired on computed and digital radiography systems.
The software offers real-time interactive tools to support physicians in identifying, confirming, and quantifying lung nodules. Look for EDDA to highlight a study published this year by van Beek and colleagues in Academic Radiology that showed that radiologists working with IQQA-Chest increased their sensitivity for nodule detection from 63.8% without the software to 92.7% with IQQA-Chest assistance.
IQQA-Chest Enterprise can be installed within a hospital's existing PACS network without code-level or application programming interface (API) integration. EDDA also is offering the software under a floating-license program.
![Representative example of a 16-year-old male patient with underlying X-linked adrenoleukodystrophy. (A, B) Paired anteroposterior (AP) chest radiograph and dual-energy x-ray absorptiometry (DXA) report shows lumbar spine (L1 through L4) areal bone mineral density (BMD). The DXA report was reformatted for anonymization and improved readability. The patient had low BMD (Z score ≤ −2.0). (C) Model (chest radiography [CXR]–BMD) output shows the predicted raw BMD and Z score in comparison with the DXA reference standard, together with interpretability analyses using Shapley additive explanations (SHAP) and gradient-weighted class activation maps. The patient was classified as having low BMD, consistent with the reference standard. AM = age-matched, DEXA = dual-energy x-ray absorptiometry, RM2 = room 2, SNUH = Seoul National University Hospital, YA = young adult.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ai-children-bone-density.0snnf2EJjr.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
