Building on that foundation, a growing community of customers and partners are fueling rapid innovation by fine-tuning new models, deploying AI applications, and developing specialized agents that expand what’s possible across the diagnostic imaging ecosystem. This momentum is shaping the next era of radiology—one defined by continuous innovation, open collaboration, and powerful new ways to connect insights from image to action.

Listening first: How customer feedback shapes every innovation

For decades, PowerScribe has been built alongside radiologists, grounded in real-world workflows and shaped by continuous feedback and close clinical partnerships with healthcare organizations across the country. This approach, building with radiologists and grounding innovation in real-world use, is fundamental to how we design and evolve our solutions, especially when it comes to performant AI. Those insights directly shaped how we evolved to PowerScribe One, where preserving the workflows and integrations that teams rely on while introducing a more modern, cloud-enabled experience designed for what comes next.

We’ve invested in dedicated voice-of-customer programs and teams whose sole focus is to continuously gather feedback. From advisory boards, clinical partnerships, and real-world usage, we translate those insights directly into our roadmap. This isn’t a one-time input; it’s an ongoing loop that ensures the capabilities we deliver reflect the evolving needs of radiologists across a wide range of environments.

That’s why we partner closely with organizations like University of Rochester Medical Center (URMC), St. Luke’s University Health Network (St. Luke’s), along with many others, through early preview programs ahead of general availability, so they can guide how innovation needs to be integrated. By embedding structured preview and validation stages into our development cycle, we align our releases with customer readiness, continuously refining based on real-world feedback. The result: technology that not only pushes boundaries, but prioritizes the workflow and overall customer experience.

Ultimately, it’s this approach, continuous collaboration grounded in the day-to-day realities of radiology, that gives us confidence in how we are shaping the future of the reporting workflow. This foundation makes these customer stories not just possible, but repeatable at scale.

PowerScribe One serves as the foundation for what’s next

At URMC and St. Luke’s, trust in PowerScribe One began with confidence in a cloud-based foundation designed to scale and integrate seamlessly into the radiologist’s workflow. For URMC, moving to the cloud was essential to unlock advanced AI capabilities that improve efficiency and provider satisfaction amid rising volumes and increasing cognitive demands. At St. Luke’s, modernization with cloud capabilities was equally strategic, enabling innovation while maintaining continuity and trust across the enterprise.

Our partnership and deep engagement model with URMC and St. Luke’s are reinforced at scale: today, more than 10,000 radiologists across 250+ organizations have migrated to PowerScribe One, generating millions of reports every week, across environments ranging from large Integrated Delivery Networks (IDNs) and academic medical centers to independent reading groups. That experience shaped a clear understanding of how to bring AI into the reporting workflow—not as a separate tool, but as a capability embedded directly where radiologists work, without introducing additional steps or fragmentation.

Both organizations are realizing real outcomes through PowerScribe One and its AI features, including generated draft impressions personalized to each radiologist that support improved efficiency and report quality.

“We chose PowerScribe One so we could really take advantage of cloud-based reporting. It gives our radiologists built‑in AI, excellent speech recognition and personalized impressions, making it easier to keep up with increasing demands while continuing to deliver great patient care. Microsoft has been with us every step of the way, staying responsive and supportive through implementation, go‑live and ongoing adoption. We will continue this partnership to continue to improve our workflows and efficiency.”

Robert Fournier, MD, Chairman of Radiology, St. Luke’s University Health Network 

At URMC and St. Luke’s, generated draft impressions were widely adopted because the feature works natively inside the reporting workflow—helping ensure key findings are pulled from the report and summarized in the impression section, reinforcing radiologists’ confidence in their report quality.

The ongoing adoption of PowerScribe One and its draft impression capabilities reflects a broader principle: when AI is fully integrated into the workflow, it enables radiologists to deliver more consistent, efficient, and high-quality reports without disrupting how they work.

Extending AI in the reporting workflow with Dragon Copilot

Now, URMC and St. Luke’s are extending these capabilities with Dragon Copilot, building on PowerScribe One to introduce intelligent summarization and automation directly within the reporting experience. Both organizations are actively leveraging prior report summarization, a feature within Dragon Copilot, to surface essential patient context from relevant prior reports, helping radiologists interpret studies with greater clarity and focus. At URMC, this capability is already delivering value by improving visibility into patient history.

“It works amazingly…it provides a great interface for seeing so much about the patient you otherwise might not see.”

Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences, University of Rochester Medical Center

Looking ahead, both organizations see significant potential as Dragon Copilot continues to evolve. As it gains access to richer patient context and connects to a broader ecosystem of first- and third-party AI applications and agents, Dragon Copilot can help to further reduce cognitive load and enable continuous innovation without disrupting the radiologist’s workflow.

Meeting customers where they are: From deploying off-the-shelf AI to fine-tuning models

Increasingly, innovation in radiology is shaped not just by what Microsoft delivers, but by how customers and partners extend AI within real-world workflows—helping radiologists work more efficiently, surface critical insights faster, and support better patient care.

As AI adoption expands across radiology, organizations aren’t moving along a single path; they’re navigating a wide range of needs simultaneously. Some are focused on deploying trusted, ready-to-use AI solutions directly into clinical workflows, while others are exploring how to build, customize, and push the boundaries of what’s possible with AI. At Microsoft, we’re designing with this range in mind to meet customers where they are and support multiple approaches to innovation.

For organizations looking to quickly operationalize AI, we provide a streamlined path forward with centralized access to a curated set of FDA-cleared third-party imaging AI applications from our ecosystem of partners—helping simplify how they are evaluated, deployed, and integrated. These applications integrate with our reporting workflows, enabling radiologists to access AI-powered insights within PowerScribe One and helping simplify the adoption of new capabilities.

For St. Luke’s, this approach enabled the rapid deployment of a fracture detection model from Gleamer, delivering immediate impact across its geographically distributed network and helping ensure more consistent diagnostic support regardless of where patients entered the system.

In addition to bringing FDA-cleared imaging AI into practice today, we provide the flexibility for customers and partners to build, customize, and extend AI capabilities as their needs evolve. Our premium medical imaging foundation models, MedImageInsight Premium and CXRReportGen Premium, can be requested for preview through Microsoft Foundry, and are designed for fine-tuning across modalities and workflows. These models are not medical devices, but they enable teams to build and fine-tune models that can complement clinically validated imaging AI solutions.

Delivered as fully managed endpoints, our premium models are continuously improved with curated data and enable AI builders, health systems, and partners to develop institution-specific solutions tailored to local data, specialty use cases, and evolving clinical needs. Models derived from CXRReportGen Premium can be integrated into experiences like Dragon Copilot, bringing high-performing AI directly into the radiologist’s workflow for summarization and report generation.

Together, this approach allows organizations to combine production-grade, regulated AI with ongoing innovation on a single platform, bridging standardized diagnostics and bespoke AI development. Companies like Milvue, a radiology-focused AI developer, are already using our models to accelerate development of solutions tailored to real-world clinical workflows.

“Milvue is building a radiology-native VLM. By working with Microsoft and leveraging CXRReportGen, we could start from a strong foundation allowing our team to focus on what matters most: turning foundation-model capability into clinically validated, workflow-ready radiology solutions.”

Alexandre Parpaleix Co-Founder/CEO, Milvue

No matter where customers and partners are in their journey with generative, multimodal, and agentic AI, we’re here to support them. From clinical applications like PowerScribe One and Dragon Copilot to customizable models from Microsoft Foundry, we provide a trusted, scalable foundation for innovation—enabling organizations to advance at their own pace while keeping workflows, performance, and outcomes at the center.

We’re excited to bring this next wave of radiology innovation to life at the SIIM26 Annual Meeting + InformaticsTECH Expo. Join us in Pittsburgh, PA to experience it firsthand. Visit us at the SIIM 2026 Booth #630–632 where customers and partners can explore our solutions, see live demos, and engage with our models in an interactive learning lab. See what’s possible when AI is truly embedded in the workflow.

See how AI fits into your radiology workflow

• Connect with our team
• Read more about migrating to PowerScribe One
• See demo of how Dragon Copilot supports radiologists and other members of the care team
• Learn how Microsoft applies AI for better health outcomes

The post How collaboration advances workflow-native AI appeared first on The Microsoft Cloud Blog.

Every patient image tells a story, and radiologists play a critical role in unlocking insights from the pixels to inform downstream care. By delivering timely, accurate, and complete reports, radiology teams help bridge the gap between diagnosis and action, accelerating time to treatment and supporting better outcomes. Microsoft is deepening its commitment to healthcare by working closely with radiologists to deliver a unified AI experience for their reporting workflow. As radiologists face increasing demands for speed, accuracy, and efficiency in reporting, this is a pivotal moment for helping them unlock new levels of productivity and efficiency through generative, multimodal, and agentic AI.

At the 2025 Radiological Society of North America Conference and Annual Meeting (RSNA 2025), Microsoft is extending the value of its flagship AI clinical assistant, Microsoft Dragon Copilot, specifically for radiologists. Now in preview, Dragon Copilot integrates directly into familiar workflows to help radiology teams focus on their interpretations.*

Serving as a companion for PowerScribe One, Microsoft’s leading reporting solution and trusted by thousands of radiologists, it delivers a unified workflow that streamlines reporting, surfaces information, and automates tasks.

Delivering generative, multimodal, and agentic AI without disrupting existing workflows

Every day, radiologists face a relentless tide of images, data, and documentation—each with varying degrees of complexity and urgency. And every moment a radiologist spends wrestling with fragmented technology is a missed opportunity to make a difference when it matters most.

This challenge extends into the AI landscape where fragmentation occurs when tools address narrow problems but create extra steps and poor integration into broader clinical workflows. Yet, hope is on the horizon. With many radiologists relying on the proven capabilities of PowerScribe One, like speech recognition to accurately dictate their report content and generative AI for generating draft impressions, organizations are looking for ways to integrate AI without altering the entire reporting experience.

For radiologists, Dragon Copilot works with PowerScribe One to deliver generative, multimodal, and agentic AI in a secure, scalable, and extensible way. It brings cloud-native features and AI directly into the radiologist’s workflow. By integrating with PowerScribe One, Dragon Copilot can further streamline report creation without interrupting the radiologist’s interpretation.

As we embrace the next frontier of AI, we know that having cloud-based solutions that work seamlessly with our existing products and systems is paramount. Having Dragon Copilot as a companion for PowerScribe One gives me confidence that I can test and benefit from the latest AI advancements with minimal disruptions and distractions.

—Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences University of Rochester Medical Center

AI capabilities tailored for radiologists

Prior report summarization: Radiologists often rely on prior reports to provide essential context for interpreting current studies. Prior report summarization in Dragon Copilot distills relevant prior reports and associated metadata into concise bullets, helping improve speed and accuracy in diagnostics. It assists the radiologists in interpretation of the current exam by clearly highlighting findings from prior reports requiring follow-up or ongoing attention.

Chat with credible sources: During an interpretation, radiologists may have questions or need to do additional research on a specific topic. A chat experience in Dragon Copilot routes questions to the appropriate agent or plugin to deliver relevant, reliable responses backed by credible sources with patient context—helping radiologists work more efficiently and intelligently without having to toggle between windows and other applications.

Report optimization for billing and beyond: Dragon Copilot can use third-party AI insights from partners to check the report content to help radiologists improve accuracy and quality, helping to prevent downstream issues like claim denials. By surfacing important details and helpful reminders directly inside the reporting workflow, radiology teams can optimize their reports for billing and beyond.

AI draft report content: With Dragon Copilot, organizations can accelerate the path to intelligent, draft-first reporting by integrating self-developed and third-party multimodal AI models. Radiologists can receive AI-generated draft report content from image analysis, which they can then review, test, and validate.

Accelerating innovation with new models and a rich partner ecosystem

Many organizations are experimenting with testing, fine-tuning, and building AI models tailored to their specific needs. With the rise of multimodal AI models that can analyze medical imaging, genomics, clinical records, and more, customers and partners are leading the next wave of innovation and exploring new use cases.

Collaborating on this work allows us to assess models like CXRReportGen that support grounded report generation based on image analysis from chest X-rays. With these new capabilities comes the challenge of how to surface model output into clinical workflows in ways that can add value. This has given us the opportunity to collaborate on AI interoperability with Microsoft in concert with other partners like Epic and Sectra to test how multimodal AI can work across systems to optimize clinical workflows and improve patient care.

—Dr. Richard Bruce, Professor and Vice Chair of Informatics, Department of Radiology at the University of Wisconsin School of Medicine and Public Health

Microsoft Foundry offers a growing catalog of more than 50 first- and third-party healthcare AI models across modalities like radiology, pathology, dermatology, and protein analysis. Key models include MedImageInsight for image embedding, MedImageParse for segmentation, and CXRReportGen for drafting imaging reports.

Building on this foundation, Microsoft now provides premium versions of two proprietary AI models—CXRReportGen Premium and MedImageInsight Premium—trained on high-value datasets for superior accuracy and task-specific performance. These models allow developers and ISVs to create advanced imaging solutions without starting from scratch, supporting use cases such as image quality checks, image-to-image search, exam parameter classification, and metadata analysis.

Most importantly, our partners are also pushing the boundaries of what’s possible and offering radiology-specific AI apps and agents that can surface directly in Dragon Copilot.

• Lunit, a global leader in AI-powered cancer screening and diagnostics, brings advanced AI-powered image analysis for mammography exams to Dragon Copilot, allowing radiologists to receive real-time insights directly within their reporting workflow. Lunit’s comprehensive breast screening data assists radiologists in classifying and correlating abnormalities. By integrating Lunit’s algorithms, Dragon Copilot helps surface critical findings and optimize report accuracy without disrupting clinical interpretation—supporting diagnostic efficiency and better patient care.
• Zotec extends the value of Dragon Copilot by integrating revenue cycle management and billing intelligence directly into the radiologist’s workflow, helping ensure reports are complete, compliant, and satisfy quality measures before final sign-off. This seamless connection reduces the risk of missed billing information and the need for addenda, saving time and improving reimbursement accuracy. By making Zotec’s expertise available, Dragon Copilot empowers radiology teams to focus on clinical care while automating complex administrative tasks.

Lunit and Zotec are part of a broader ecosystem of partners bringing new AI innovations to Dragon Copilot customers. The collaborative innovation between Microsoft and its partners keeps solutions adaptable, secure, and tailored to the evolving needs of healthcare professionals.

Expanding what cloud, data, and AI can do for radiology

The power of our ecosystem extends beyond Dragon Copilot. At RSNA 2025, we’re extending that innovation across the broader Microsoft Azure ecosystem, showcasing partners who are transforming imaging workflows and data management in the cloud.

• Merge by Merative, from first click to final read, accelerates imaging workflows in the cloud.
• CitiusTech helps organizations consolidate their medical imaging on Azure with their digital imaging and communications in medicine (DICOM) migration suite.
• Qumulo allows for intelligent retention and lifecycle management of imaging data in one unified file system on Azure.
• Milvue delivers both automated X-ray measurements and pathology detection for chest and appendicular skeleton imaging, supporting both pediatric and adult patients.

PowerScribe One

Harness AI to achieve new levels of reporting accuracy and quality.

Learn more

Learn more about AI adoption in radiology

• See Dragon Copilot and our radiology solutions, including partner innovations, live at RSNA booth #1311.
• Not attending RSNA 2025? Contact your account executive to schedule a demo.
• For advice on how you can accelerate AI adoption in your organization, explore the 2025 AI in Healthcare Decision Brief.

*Dragon Copilot for radiology is currently in preview for PowerScribe One customers. 

The post Driving a unified AI experience at RSNA 2025: Microsoft Dragon Copilot expands to radiologists, transforming the reporting workflow appeared first on The Microsoft Cloud Blog.