|Articles|November 16, 2012

Claron Announces Upgrades to Cloud-based Viewers

Advanced visualization software developer Claron Technology will debut at RSNA 2012 enhancements to their “No Install” cloud-based viewers.

Advanced visualization software developer Claron Technology will debut at RSNA 2012 enhancements to their “No Install” cloud-based viewers.

The Nil viewers will be transformed into robust enterprise-class image visualization and sharing tools, the company said. The Nil viewers include NilRead, a diagnostic quality web-based viewer, and NilShare, a streamlined veiewer for clinicians and patients.

For NilRead, Claron introduces support for viewing federated historical patient exams across multiple PACS archives, vendor neutral archives and health information exchanges. The new version also supports rules-based hanging protocols so exams will be displayed based on a user’s preferences. It will also become the first web-based viewer to support multi-monitor image display, the company said.

The company has also integrated Skypoe for voice, data and instant messaging into both viewers. NilRead and NilShare can be integrated into any DICOM network and are available as turn-key systems.
 

Related to this article

Foundation Model-Based Chest X-Ray AI Software Gets FDA Nod
Reportedly one of the first FDA-cleared chest X-ray AI software platforms derived from a foundation model, the Chest Xray software facilitates detection and localization of lung nodules, pneumothorax, mediastinal abnormalities and other thoracic abnormalities.
Does kV Still Matter in Photon-Counting CT?
Emerging research demonstrates the increasing stability of attenuation on clinically relevant VMIs with photon-counting CT and a redefined role of kV that may have implications for longitudinal quantitative CT.
CT Radiation Dosing: Where Things Stand, Part 2
In the second of a two-part interview, Kalpana Kanal, PhD, and Mahadevappa Mahesh, MS, PhD, FAPPM, FACR, discussed future directions for research on CT radiation dosing, including the potential of indication-specific diagnostic reference levels (DRLs).