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RP Builds AI Mosaic, AI Productivity, and 2026 MPFS Changes
July 17, 2025
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Together with
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“Many radiologists assume workforce shortages will protect them from automation. But
history suggests the opposite: automation is most profitable when labour is scarce and
expensive.”
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Heathcote Ruthven and Christoph Agten, MD, in a new article on AI’s radiology impact.
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New automated software solutions are becoming available for analysis of arterial plaque, a major risk factor for heart disease. Hear clinicians discuss their real-world experiences with automated tools for plaque analysis in this Imaging Wire webinar in partnership with Elucid.
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Radiology Partners announced a new initiative to guide the rollout of AI across its nationwide network of radiology practices. The company’s new MosaicOS will be the IT foundation that connects RP practices and supports clinical uses from AI-assisted reporting to report generation and even image management.
Radiology Partners has grown since its founding in 2012 to become the largest privately held provider of imaging services in the U.S. and a major force behind the consolidation of private-practice radiology groups.
- RP has always maintained a heavy technology investment, and has been looking closely at the rise of AI in radiology.
That’s because the growth in imaging volume is so massive that clinicians will no longer be able to care for patients adequately without AI’s assistance, at least according to RP’s Associate Chief Medical Officer for Clinical AI Nina Kottler, MD.
RP laid the groundwork for MosaicOS in 2020 by first migrating its technology stack to a cloud-native infrastructure.
- This frees RP from reliance on on-premises legacy software and enables the company to push out updates that can be adopted quickly across its network.
RP’s Mosaic rollout includes the following components as the company…
- Forms a new division, Mosaic Clinical Technologies, to oversee its AI activities.
- Debuts MosaicOS, a cloud-native operating system that combines AI support with workflow and other IT tools.
- Launches Mosaic Reporting, an automated structured reporting solution that combines ambient voice AI with large language model technology.
- Develops Mosaic Drafting, a multimodal AI foundation model that pre-drafts X-ray reports that radiologists can review, edit, and sign.
Mosaic Reporting is already in use at some RP sites, and the company is pursuing FDA clearance for broader use of Mosaic Drafting. More Mosaic applications are on the way.
- Mosaic tools will be disseminated to RP centers using the cloud-native infrastructure, and MosaicOS will include image management functions that providers can choose to use in place of or alongside existing tools like viewers and archives.
Kottler told The Imaging Wire that RP has de-emphasized individual pixel-based AI models in favor of foundation models that have broader application.
- What’s more, RP CEO Rich Whitney said the company has chosen to develop AI technology internally rather than rely on outside vendors, as this gives it greater control over its own AI adoption.
The Takeaway
The launch of MosaicOS marks an exciting milestone not only for Radiology Partners but also for radiology in general that could address nagging concerns about clinical AI adoption on a broad scale. RP has not only the network but also the technology resources to make the rollout a success – the question is whether outside AI developers will share in the rewards.
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Clarity, Speed, and Confidence for MRI Efficiency
Radiologists have used a variety of methods to improve efficiency, but many of these methods come with drawbacks. Find out in this article how SpinTech MRI takes on the challenge of MRI efficiency with its STAGE software.
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Radiology Advocacy, Challenges, and Innovation
In this episode of The Radiology Report podcast, Medality CEO Daniel Arnold sits down with Reno Radiological Associates CEO Anthony Dispenziere to discuss the business behind independent radiology practice and what it takes to stay competitive in an increasingly complex healthcare landscape.
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- Who Will Benefit from AI’s Productivity Boost? If you accept the argument that AI will boost radiologist productivity, then ask yourself a second question: Who exactly will benefit? A new article in European Journal of Radiology Artificial Intelligence reviews past trends in industrial automation to make some pointed predictions about AI-enhanced radiologist productivity, suggesting that benefits will accrue mostly to “employers, investors, and AI vendors, not salaried radiologists.” They suggest radiologists protect themselves by seeking equity in their practices or “transitioning to alternative career paths.”
- CMS Cuts Medicare Payments with Higher Rates: Leave it to CMS to propose changes to physician payments that cut reimbursement by increasing rates. The agency’s proposed 2026 Medicare Physician Fee Schedule includes increases such as the big budget reconciliation act’s one-year 2.5% bump to the Medicare conversion factor, but ACR calculates that after taking into account other new MPFS provisions it actually results in a 2% drop for radiology and a 1% decline for nuclear medicine and radiation oncology. The pain is countered by a 2% increase for interventional radiology.
- Remote Supervision Rule Gets Finalized: In a long-expected move, CMS in the 2026 MPFS proposed to make permanent a rule adopted during the COVID-19 pandemic that enables physicians to provide remote supervision via telehealth and bill for services including diagnostic tests that once required a direct physical presence, such as contrast administration. Supervision must be provided over real-time audio and video interactive telecommunications and not audio-only links.
- Lower Imaging Use with Telemedicine: As the U.S. government promotes virtual healthcare in the proposed 2026 MPFS, new research suggests telemedicine visits could reduce imaging costs. In a new study in JACR, researchers from the Harvey L. Neiman Health Policy Institute looked at 23.4M office visits from 2021, during the COVID-19 pandemic. In all, 10% were telemedicine visits, and these had lower imaging utilization after seven days (5% vs. 14%), 14 days (8.7% vs. 18%), and 30 days (15% vs. 26%).
- MPFS to Include Category I CCTA Plaque Code: Another change in the proposed 2026 MPFS is a Category I CPT code for coronary CT angiography with plaque analysis, with a national Medicare payment amount of $1,000. If approved, the code would build on a big boost in CTA payment rates – from $175 to $357 – that started this year. The proposed code is being lauded by software developers like Elucid, which makes the PlaqueIQ solution for automated plaque analysis.
- ACR Tackles AI Reimbursement: Reimbursement is one of the main barriers holding back clinical AI adoption, and ACR is tackling the issue by forming a new AI Economics Committee. Frank Rybicki, MD, PhD, will chair the committee and its 10 members will address reimbursement of radiology AI tools by Medicare, Medicaid, and private insurers. The U.S. still lacks a dedicated permanent reimbursement mechanism for most AI tools, although federal legislation – the Health Tech Investment Act – was introduced in April.
- CEM Reimbursement Challenges: Contrast-enhanced mammography is a proven technology for working up suspicious breast lesions that’s cheaper and more accessible than breast MRI. But 40% of expert breast radiologists in a new global survey in European Journal of Radiology said they weren’t getting reimbursed for the exams for various reasons. Researchers surveyed 20 radiologists, with 75% saying no dedicated national CEM reimbursement code existed, and 53% saying they used the code for FFDM. Still, 65% said reimbursement did not affect their adoption of CEM.
- Mammo Skeptics Attack Breast Imaging ‘Add-Ons:’ A new editorial in NEJM claims that breast imaging tools like AI and DBT are unproven technologies added on to mammography screening that “have done little to improve women’s health and may have caused harm.” The editorial questions whether FDA approvals of AI and DBT tools were appropriate because they weren’t supported by randomized controlled trials. Co-authors on the editorial include longtime screening skeptic Rita Redberg, MD, who has contributed to articles that criticize most population-based screening exams.
- AI Creates Heat Maps for Breast MRI: An AI algorithm for analyzing breast MRI exams that generates heat maps of suspicious areas performed well in a new paper in Radiology. Researchers from the University of Washington and Microsoft developed a fully convolutional data description model and tested it in a large dataset of 292 women, finding that the FCDD model’s heat maps and associated anomaly scores outperformed benchmark binary models in both high- and low-prevalence cancer scenarios.
- X-Ray Velocimetry Finds Hidden Lung Disease: Researchers discovered that X-ray velocimetry scans of lung function using 4DMedical’s XV LVAS technology can find hidden small airway disease missed by tests like CT or spirometry. In a study in Respiratory Research, investigators generated colorized XV LVAS maps from fluoroscopy studies, finding that XV biomarkers in COPD patients correlated with airflow obstruction on spirometry tests. XV LVAS also generated biomarkers that could distinguish veterans with deployment-related constrictive bronchiolitis – but normal breathing tests – from controls.
- Patients Die Waiting for Imaging: As Canada struggles to shorten wait times for healthcare procedures, a new report shows that 1.4k patients died while waiting for medical imaging exams in British Columbia’s Interior Health medical system during fiscal 2024-2025. It’s unknown whether the delays contributed to patient deaths, but Interior Health data indicate that 39% of the patients waited past targeted times. In all, 43% of the patients were waiting for CT exams, 22% for vascular ultrasound scans, and 12% for echocardiography.
- GE Recalls Gamma Cameras: GE HealthCare has started a recall of SPECT systems due to a software issue affecting its Infinia, Infinia Hawkeye, Infinia II, and Infinia Hawkeye 4 nuclear medicine systems. In an FDA post on the recall, the agency notes that unintended radial detector motion may occur during patient setup or scans if the correct version of gantry software is not installed. GE sent a letter to customers on June 20 advising them to make sure they have the correct software version installed.
- U.K. Biobank Project Completes 100k Scans: In a major milestone for population health, the U.K. Biobank project completed the world’s largest whole-body imaging initiative by completing its 100,000th scan. Biobank researchers since 2015 have scanned brains, hearts, abdomens, blood vessels, bones, and joints of volunteers as part of a long-term study on aging. Some 1.3k research studies on various topics have been published using Biobank data, from cardiac MRI to chronicling brain changes related to Alzheimer’s disease.
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Diagnostic X-Ray Battery for Life
Discover the Radiography 7000 M from Philips, a premium mobile radiography system offering enhanced care and improved operational efficiency. Plus you’ll never have to pay to repair or replace the main system battery. Terms and conditions apply.
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Easily Share Patient Images and Reports
Physicians can easily share patient images and reports from a personal worklist using Intelerad’s InteleShare Physician Portal. Discover how easily it works in this self-guided demo.
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- Leading the Way in AI Transparency: There’s a need to better inform radiologists about AI’s role when interpreting images and generating measurements. Visage Imaging’s Visage 7 can display text in the viewer indicating that AI was used as a diagnostic aid – find out how it works today.
- Advanced AI for Prostate MRI: QP-Prostate from Quibim is your advanced solution for detection and diagnosis of prostate cancer from MRI scans. Discover how it streamlines your workflow by detecting suspicious lesions, segmenting the prostate, and ensuring compliance with PI-RADS V2.1 guidelines. Learn more on this page.
- Singapore’s National AI Imaging Platform: AimSG, Singapore’s national radiology AI platform, is powered by CARPL to support third-party and in-house AI through a single, secure pipeline. See how CARPL powers healthcare across Singapore:
- This Is the Future of Fluoroscopy: Something revolutionary is coming to the world of fluoroscopy from Siemens Healthineers. They can’t reveal all the details just yet, but they promise it’ll be worth the wait. Watch this short 90-second preview to learn more.
- How CHU Bordeaux Integrated AI into Their Echo Lab: Bordeaux University Hospital evaluated the real-world use of AI in echocardiography from Us2.ai. Results showed strong agreement between AI-generated and human measurements, particularly for ejection fraction and Doppler-based parameters, highlighting AI’s potential to streamline workflow and reduce variability.
- The Future of SmartTechnology: SmartTechnology is DeepHealth’s solution for bringing informatics and imaging systems closer together by embedding informatics into hardware, creating completely new workflows. Learn how it works in this interview with CTO Sham Sokka.
- Opportunistic Detection of CAC and Pulmonary Nodules: Achieve a newfound certainty of search for thoracic CT when using ClearRead CT from Riverain Technologies. It’s a natural addition for opportunistic CAC scoring and nodule detection, or as part of a CT lung cancer screening program.
- The Blackford Difference: AI is no longer a futuristic nice-to-have in healthcare, it’s an essential tool. Yet for many providers, the path forward with AI remains unclear. That’s where Blackford comes in – discover the difference today.
- Advancing AI-Driven Data Migration: Enlitic has joined forces with GE HealthCare to power the data migration feature in GE’s newly announced Genesis cloud portfolio. Learn how Enlitic’s AI-driven data migration facilitates large-scale transfers of high-quality medical imaging data.
- Enterprise Imaging in Action: Find out how Presbyterian Healthcare increased patient engagement and met regulatory requirements by image-enabling their patient portal in this downloadable white paper from Merge.
- Unprecedented Insights Made Possible with AI: With the largest normative dataset of whole-body imaging in the world, Prenuvo’s AI researchers partner with the best academic minds to understand – like never before – what “normal” aging means. Learn about their work today.
- Optimize Radiology Workflows: Harness cloud and AI technology to help your radiology teams unlock insights, increase efficiencies, and improve patient care. Learn more about an integrated approach to AI in radiology in this e-book from Microsoft.
- The Leader in Molecular Imaging: United Imaging’s uMI portfolio of solutions is designed to help you lead the way in molecular imaging. From digital PET/CT systems designed to stand the test of time to the cutting-edge uEXPLORER total-body PET scanner, discover the uMI difference today.
- Top Productivity Tools for Radiologists: Radiologists today face growing demands for speed, collaboration, and accuracy. Watch this on-demand webinar to learn from clinical and IT leaders from the University of Michigan Health – Sparrow and AGFA HealthCare as they share the top tools helping radiologists work smarter.
- Experience the Power of Workflow Orchestration: Mach7’s UnityVue Workflow Orchestration Platform is a groundbreaking new solution that creates a unified view of patient imaging data, speeding patient care delivery, creating more efficient workflows, and reducing radiologist stress. Experience the power of UnityVue for yourself.
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