Maximize Clinical Productivity
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Pixel Powered Reporter
Sirona’s reporting engine leverages agentic AI, proprietary NLP, and a radiology-specific large language model (SironaLex™) to pre-draft study-aware, structured report templates.
- Measurements and annotations from the viewer are automatically synchronized with the appropriate sections of the report.
- Auto Impressions are dynamically generated and customized for each radiologist, reducing dictation time and enabling greater focus on image interpretation.

Integrated Viewer
Sirona’s patented Ontology organizes and displays studies, even when series descriptors are inaccurate or inconsistent.
A powerful suite of AI automation and patented Pixel-to-Reporting technology connects measurements and annotations made in the viewer to the appropriate location in the radiology report.

PACS Archive
RadOS™ leverages the power of AWS for a PACS archive that’s fully managed—no servers to maintain, no patch cycles, no babysitting.
It delivers 99.99% availability with best-in-class retrieval performance, so studies are simply there when radiologists need them. The archive fades into the background, and the practice of radiology moves to the foreground.

Unified Worklist
Brings every site and system into a single, unified worklist with a detailed summary of the patient's relevant history.
Embedded AI organizes priors and clinical context enabling radiologists to see what matters. A single, integrated viewer opens studies instantly anywhere in the world.
Platform AI
RadOSTM allows radiology to be AI-powered for the first time. AI was never meant to be an “add-on application or algorithm”. With RadOSTM, it’s the power source behind a new generation of workflow with AI deeply embedded.
Auto-Impressions
AI generated impressions instantly, reducing turnaround time and radiologist fatigue.
Quality Assist
AI flags mistakes of all types, from grammatical errors to more significant issues, helping to maintain report quality.
Focus Mode
AI-augmented reporting enables faster, freeform dictation that keeps physicians’ eyes on the images.
Hanging Protocols
Hang protocols intelligently, leveraging multimodal data to place studies where they need to be.
Spine Suite
AI automatically segments, labels, and links the report and the images at each level of the anatomy.
Auto-Priors
AI identifies relevant prior exams and automatically surfaces them for rapid comparison, enabling more precise diagnosis and improved patient care.
Priors Summary
AI summarizes key findings from prior reports into concise overviews, offering a holistic record.
Watch & learn about RadOSTM
RadOSTM Launch Day
RadOSTM Architecture Fireside
RadOSTM AI Fireside