Radiology Partners Launch Enterprise Imaging Platform MosaicOS
A cloud-based and AI-native radiology operating system, MosaicOS reportedly enables the combination of diagnostic AI tools and workflow enhancements into one scalable platform.
Amid a backdrop of increasing worklists and recent survey results indicating that nearly 40 percent of polled radiologists are looking to leave the profession, Radiology Partners has launched a new operating system, MosaicOS, with the goals of improving workflow efficiencies and reining in AI technologies into one system.
Launched through Radiology Partners’ new Mosaic Clinical Technologies division, the enterprise imaging platform MosaicOS allows rapid cloud-based deployment and offers intuitive AI-driven technology.
Key attributes with MosaicOS include Mosaic Reporting, which provides automated reporting structure through a combination of ambient voice AI and large language model (LLM) technologies. Another emerging feature with MosaicOS is Mosaic Drafting, which facilitates initial drafting of X-ray reports based on a multimodal AI foundation model, according to Radiology Partners.
“MosaicOS™ represents an urgent call from our specialty,” said Nina Kottler, M.D., MS, FSIIM, an associate chief medical officer for clinical AI at Radiology Partners. “Demand is growing. Worklists are getting longer. While the pace of AI innovation is exciting, fragmented technologies create friction, forcing radiologists to toggle between systems and duplicate tasks, ultimately slowing care. MosaicOS™ rewrites the rules, connecting AI, clinical expertise and scalable technology into a single solution that empowers radiologists, restores focus to patient care and signals our commitment to shaping the future of our specialty.”
Newsletter
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
The Reading Room Podcast: Current and Emerging Insights on Abbreviated Breast MRI, Part 3
August 4th 2025In the last of a three-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, share additional insights on practical considerations and potential challenges in integrating abbreviated breast MRI into clinical practice, and offer their thoughts on future research directions.
Reducing the Interval Breast Cancer Rate of Screening DBT: Can AI Have an Impact?
August 4th 2025In a retrospective review of screening digital breast tomosynthesis (DBT) exams for over 200 women with interval breast cancers, researchers found that AI provided accurate localization of cancers in 32.6 percent of the cases.
The Reading Room Podcast: A Closer Look at Remote MRI Safety, Part 3
August 4th 2025In the third of a three-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, discuss strategies for maintaining the integrity of time-out procedures and communication with remote MRI scanning.
