White Paper
Imaging
Providers
AI
Clinical Research Study: Reducing Chest CT Interpretation Time Using Advanced Lung Nodule Workflow Functionality
This study examines how Merge Universal Viewer was used to build an automated RVU-based balancing system to help make workload distribution more equitable among radiologists.
Related Documents
White Paper
Enhancing Equitable Study Distribution Using an Automated Worklist Algorithm
The following study was designed and conducted to evaluate study distribution equitability with and without the automated worklist functionality. The hypothesis is that the ...
White Paper
How Carle Health deployed an enterprise imaging strategy to integrate 8 hospitals' imaging data
Carle Health has expanded to include eight hospitals, with a centralized, vendor-neutral imaging repository that has grown, thanks to combined Merge VNA and Merge Universal Viewer ...
White Paper
The Zelta way on AI and supervised machine learning
Zelta’s AI strategy focuses on supervised machine learning with targeted, value-adding deployments. We let the use case decide.