Radiology Untethered
Transform your organization with cloud-native PACS, reporting, and AI-powered workflow.
Sirona brings radiology into the modern era with a single, cloud-native platform for image management, diagnostic reporting, and AI-powered workflows. Sirona empowers radiologists to work faster, intelligently, and from anywhere.
How Sirona is Different
Sirona’s RadOS™ platform understands how radiologists and their teams work. It unifies the data and tools necessary for radiologists to read seamlessly from anywhere, at any time.
Our architecture and AI capabilities help reduce the number of clicks, drags, scrolls, and “scratch-thats” slowing radiologists down.
RadOS™ unifies every element of the radiology practice into a single, seamless platform. It unifies all clinical data feeds — including DICOM, HL7, speech — with the essential workflow tools radiologists rely on: reporting, PACS, viewer, and worklist.
The data powers a suite of patented, AI-driven technologies which include pixel-to-report, ontology classification, and our radiology-specific LLM engine. They work together to seamlessly unlock these workflows where the Radiologist keeps full control of the Radiology report content:
- Auto-placement of findings directly into the appropriate section of the report
- Auto-placement of measurements and other important data into structured reports
- Smart hanging protocols
*Pixel-to-report is a prospective feature currently undergoing regulatory review.
Radiologists are at their best when their attention is on the image — not wrestling with fragmented legacy systems. Every click, manual entry, or window adjustment introduces distraction, results in lost efficacy, and risks mistakes.
RadOS™ helps:
- Increase accuracy by reducing opportunities for error
- Save time with automated data capture and report and impression generation
- Enhance collaboration through structured, standardized outputs
- Improve operations with more efficient reads
Radiology shouldn’t be constrained by location or legacy infrastructure.
Our cloud-native architecture leverages AWS, the world's largest global cloud infrastructure provider, to intelligently and seamlessly transport large data sets to the nearest point of presence (POP) location for radiologist consumption. The result is that large imaging studies load quickly and consistently, regardless of the radiologist's location.
By leveraging the scale and resilience of AWS, RadOS™ delivers:
- Low-latency image access powered by local POP caching
- Secure and HIPAA-compliant access across devices and geographies
- High availability and reliability built by a global cloud backbone
- Seamless collaboration without the bottlenecks of on-prem systems
- Automatic product updates and enhancements delivered through a browser refresh
AI with Indisputable Impact
Within RadOS™, Sirona’s patented AI connects otherwise fragmented technologies into a single, intelligent operating system. With the ability to understand images, text, and speech, our Agentic AI transforms radiology workflows—making them faster, smarter, and higher quality.
Embedded
AI is embedded within every application driving more efficient workflow.
Agentic
Speech-to-action prompts automated AI agents that execute tasks, delivering true efficiency, not just dictation.
Multimodal AI
Pixel-powered reporting. Speech-driven viewing. Intelligence across every modality.
Maximize Clinical Productivity
Read anywhere, anytime on Chrome. No software downloads.
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.
- 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.
Sirona by the Numbers
$0m
Raised since inception>0m
Per month, monthly ingestion run-rate0%
Uptime0+
Contracted customers>0
Sites integratedSirona in the News
Big Tech searches for a way back into healthcare
Dr. Curtis Langlotz Joins Sirona Medical’s Board
RANT Selects Sirona Medical as its Business Continuity Platform to Ensure Uninterrupted Care for Millions of Texans
Sirona Announces Support for SpaceX’s Starlink Network, Allowing Radiologists to Practice from Anywhere.
Sirona Medical Announces Launch of Sirona’s RadOS Platform
Sirona Medical Expands Rapidly, Signs Nine New Radiology Practices
Sirona Medical partners with RevealDX to transform lung cancer screening with a comprehensive suite of reimbursed AI tools.
Sirona Medical Secures $40M in Series B Funding to Accelerate Adoption of its Cloud-Native Radiology Operating System
Sirona Medical Secures $45M in Series C Financing to Enhance Customer Success With Its Cloud-Native Unify Platform
Sirona Medical Taps Radiology IT Veteran Ken Kaufman to be CEO in Next Stage of Growth
Sirona Selects Koios & RevealDX as Founding AI Partners Ahead of November Launch Event
The pitch deck a medical-software startup used to secure $40 million in Series B funding
Why ‘Do No Harm’ Isn’t Good Enough for Radiology and Radiology IT
