AI Enters the Reading Room: A Real-Time Fix for the Radiology Crisis

NASHVILLE, Tenn. – June 09, 2026 – In a significant move to address the mounting pressures on medical imaging, Mosaic Clinical Technologies™ has commercially launched Mosaic Reporting™, an AI-native platform designed to work alongside radiologists during the most critical phase of their work: image interpretation. The new system, which functions in real time, marks a departure from traditional reporting tools and signals a deeper integration of artificial intelligence into the core of clinical decision-making.

The challenge is stark. “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,” said Mike Peresie, President of Mosaic Clinical Technologies. This imbalance not only strains healthcare systems but also contributes to radiologist burnout and the potential for diagnostic delays. In response, Mosaic Reporting™ aims to be more than just another piece of software; it’s positioned as a fundamental solution to expand clinical capacity and streamline one of medicine’s most data-intensive specialties.

A New Paradigm in Reporting: AI as a Real-Time Partner

For decades, the process of creating a radiology report has remained largely unchanged. A radiologist interprets a medical scan—a CT, MRI, or X-ray—and then dictates their findings, which are transcribed into a structured report. This post-review documentation, while standard, creates a separation between the act of interpretation and the act of reporting. Mosaic Reporting™ seeks to collapse this gap.

Powered by proprietary foundation models from its AI division, Cognita Imaging™, the platform functions as an ambient intelligence layer. As a radiologist dictates their observations while viewing images, the system intelligently extracts key findings and automatically organizes them into the appropriate sections of a report. This isn’t simple speech-to-text transcription; it’s a contextual understanding of medical language, happening simultaneously with the diagnostic process. The patent-pending system is designed to create a natural dictation experience that reduces interruptions and cognitive load, allowing clinicians to remain focused on the images in front of them.

“Most AI documentation tools are built around clinician-patient conversations, but radiologists interpret images, which demands a fundamentally different approach,” explained Adrit Rao, Technical Product Lead at Cognita Imaging™. “Mosaic Reporting is one of the first new and significantly advanced approaches to radiology reporting in more than a decade.”

The platform enables voice-directed, targeted edits, minimizing clicks and automating mundane tasks. The goal is to make the entire workflow more fluid, keeping the radiologist’s expertise at the center while the AI handles the complex administrative task of report construction. This real-time assistance is made possible by in-house developed foundation models that, according to the company, offer improved speed and accuracy over third-party alternatives.

Addressing the Capacity Crisis and Radiologist Burnout

The launch of Mosaic Reporting™ arrives at a critical juncture for the healthcare industry. The demand for medical imaging is rising relentlessly, while the pipeline for new radiologists is not keeping pace. This growing capacity gap puts immense pressure on existing practitioners to read more studies, faster, without compromising accuracy. The consequences include longer wait times for patients, operational bottlenecks for hospitals, and a heightened risk of burnout for clinicians.

By enhancing efficiency, the platform directly addresses this crisis. “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,” Peresie noted. Early validation of the underlying AI models provides a glimpse into this potential impact. Internal studies of Cognita CXR, the AI model for chest X-ray interpretation, showed an 18% boost in average interpretation efficiency. Other internal validations demonstrated that AI-assisted reads could increase detection rates for certain conditions by up to 52% and reduce significant diagnostic errors up to fourfold.

Beyond pure speed, the system is engineered to reduce the cognitive burden that contributes to fatigue and burnout. “This technology creates a more intuitive and effective reporting experience, helping radiologists reduce cognitive burden and focus on the patient,” said Dr. Nina Kottler, Chief Medical AI Officer at Mosaic Clinical Technologies. By automating report structuring and minimizing administrative friction, the platform frees up mental energy for high-stakes clinical analysis, potentially leading to improved job satisfaction and career longevity for radiologists.

The Physician-Led Advantage: For Radiologists, By Radiologists

What sets Mosaic Clinical Technologies apart from many tech startups entering the healthcare space is its origin. As a wholly owned subsidiary of Radiology Partners (RP), the largest physician-led radiology practice in the United States, it has a unique and powerful advantage: a direct, built-in connection to its end-users.

RP’s vast network, which serves over 3,400 healthcare facilities and interprets more than 55 million imaging studies annually, has become a real-world laboratory for developing and refining the technology. Mosaic Reporting™ is already deployed to thousands of radiologists within this network, providing an unparalleled scale for testing, feedback, and iterative improvement. This continuous feedback loop from practicing physicians ensures the technology is not just innovative but also practical, relevant, and impactful in a live clinical setting.

This physician-led development model is designed to avoid the common pitfall of technology solutions that look good on paper but fail to integrate smoothly into complex clinical workflows. By building the platform “by radiologists, for radiologists,” the company aims to deliver a tool that genuinely solves problems rather than creating new ones. “For health systems, it creates an opportunity to unlock capacity, improve consistency and build a future-ready foundation that can evolve with their needs,” Dr. Kottler added.

A Foundation for the Future: Integration, Validation, and Scalability

Mosaic Reporting™ is not a standalone product but a key component of MosaicOS™, a broader proprietary platform described as a cloud- and AI-native “operating system” for radiology. This vision is to create a single, scalable solution that seamlessly integrates diagnostic technologies, AI-powered tools, and smart workflows, replacing the fragmented, legacy systems that often create friction for clinicians.

The company’s commitment to building a robust and trustworthy platform is further evidenced by its strategic moves. In March 2026, its Cognita CXR model received FDA Breakthrough Device Designation, a recognition of its potential for more effective diagnosis and a pathway to prioritized regulatory review. Furthermore, a partnership with Stanford Radiology’s AIDE Lab aims to pioneer new methods for continuously monitoring AI tools for safety, reliability, and equity.

Built on a fully cloud-native architecture, MosaicOS™ is designed for rapid deployment and scalability, not just within the massive Radiology Partners network but also for future commercial partners. Mosaic Clinical Technologies plans to offer the platform to hospitals, health systems, and imaging centers outside its affiliated practices, providing a pathway for the broader industry to leverage these advancements. By focusing on rigorous clinical validation and seamless integration, the company is building a foundation that could redefine the technological backbone of enterprise imaging for years to come.