PACS firm Image Information Systems has introduced iQ-Web Uploader 1.1, a new vendor-neutral web portal aimed at facilitating image sharing for physicians and patients.
With iQ-Web Uploader, healthcare professionals and patients can use any internet-connected device to transfer medical images or relevant photos and documents to any PACS, according to the vendor. In addition, iQ-Web Uploader can also be used for teleradiology, enabling studies to be uploaded to the portal for remote reading, Image Information Systems said.
After data is uploaded, a secure Web Access to DICOM (WADO) link is sent via the software's built-in email client to both the uploader and the chosen recipient of the data, according to the firm. They can then access the uploaded imaging data on the recipient's PACS archive or share the information with others, the company said.
Image Information Systems said that iQ-Web Uploader is compliant with both the Health Insurance Portability and Accountability Act (HIPAA) in the U.S. and the General Data Protection Regulation (GDPR) in Europe.
![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)
