Ambient AI Reporting Platform Streamlines Radiology Reporting

Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after image review, adding steps to already complex workflows. To help streamline reporting, a new ambient artificial intelligence system generates radiology reports in real time during image interpretation while keeping clinicians focused on decision-making at the workstation.

Mosaic Clinical Technologies (Nashville, TN, USA) has launched Mosaic Reporting, an AI-native reporting platform built for radiology workflows and available as part of MosaicOS. The system is already deployed to thousands of radiologists through Radiology Partners–affiliated practices, providing a scaled real-world environment to refine and expand the platform. It is positioned to help healthcare organizations reduce reporting friction and move beyond legacy systems.

Image: The platform supports real-time AI-assisted report creation as radiologists dictate, extracting findings from natural speech and placing them into the appropriate report sections (Image credit: Adobe Stock)

Powered by foundation models developed by Cognita Imaging, the AI division of Mosaic Clinical Technologies, the patent-pending platform assists report construction in real time as radiologists interpret medical images. It organizes findings, structures reports, and enables targeted edits within the reporting workflow. In-house foundation models are described as offering improved speed and accuracy compared to third-party models, and the approach is tailored for image interpretation rather than clinician–patient conversations.

The platform supports real-time, AI-assisted report creation as radiologists dictate, with intelligent extraction of findings from natural speech and automatic placement into appropriate report sections. A natural dictation experience is designed to reduce interruptions and cognitive load, while voice-directed editing enables efficient structured reporting. By cutting clicks and automating routine tasks, the system aims to keep radiologists focused on clinical decision-making and to replace legacy reporting solutions.

For health systems facing rising demand, staffing constraints, backlogs, and pressure to improve turnaround times, the platform is designed to expand clinical capacity and support a more efficient reporting environment. Integrated within MosaicOS, a cloud- and AI-native imaging intelligence platform that combines diagnostic technologies, AI-powered tools, and smart workflows, the reporting solution supports enterprise imaging needs across hospitals and health systems.

“Radiology is facing a chronic shortage of radiologists as imaging volumes continue to climb, leaving radiology practices, departments and the health systems that depend on them with growing backlogs and turnaround time pressure, Mosaic Reporting is designed to help healthcare organizations create reading capacity, improve turnaround times and better meet service levels that referring physicians and patients expect. Because it is built as part of MosaicOS, organizations can see those gains immediately on a platform that continues to expand,” said Mike Peresie, President of Mosaic Clinical Technologies.

“This technology creates a more intuitive and effective reporting experience, helping radiologists reduce cognitive burden and focus on the patient. For health systems, it creates an opportunity to unlock capacity, improve consistency and build a future-ready foundation that can evolve with their needs,” said Dr. Nina Kottler, Chief Medical AI Officer at Mosaic Clinical Technologies.

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