Zeltaa RadAgent Structured Reporting for Radiology

Part of MosaicOS, Mosaic Reporting brings a new class of ambient AI, natural dictation and real-time report construction to radiology workflows, helping healthcare organizations expand capacity, reduce reporting friction and move beyond legacy systems. Learn more about Mosaic Clinical Technologies™: https://mosaicclinical.ai/

Most enterprise imaging systems were built strictly for clinical care, leaving research teams to navigate data silos and manual workarounds. Medicom Solutions Architect, Kevin Foley, recently joined Luke Bideaux of Vega Imaging Informatics to discuss how healthcare institutions can bridge this gap and scale imaging research. Key takeaways from the discussion include: ✔️ Clinical vs. Research Workflows: Overcoming the divide between standardized clinical care and fragmented research infrastructure. ✔️Advanced De-Identification: Protecting DICOM compliance and preserving longitudinal patient timelines for accurate analysis. ✔️Empowering CIIPs: Why Imaging Informatics Professionals are uniquely equipped to lead research data initiatives. ✔️AI & Unstructured Data: Utilizing LLMs and NLP to extract critical insights from radiology and pathology reports. To help health systems address these operational hurdles, Medicom developed Research Assistant, an automated, on-premise toolkit that streamlines PHI removal across DICOM metadata, image pixels, and reports while preserving longitudinal accuracy. It enables institutions to safely unlock imaging data for research and machine learning without compromising patient privacy. Thanks to Luke Bideaux and the team at Vega Imaging Informatics for hosting an engaging conversation on the future of imaging data management. Watch the full episode here: https://lnkd.in/eXWEYgEb #ImagingInformatics #MedicalImaging #ClinicalResearch #AIinHealthcare #DataGovernance #MedicomTech #VegaInsights #DICOM

The true value of medical AI is proven after adoption — when it becomes part of daily clinical workflows. Coreline Soft is continuing its long-term partnership with 3DR Labs, a U.S.-based medical imaging post-processing company supporting more than 1,000 hospitals and imaging centers. Now in its fourth year, the partnership reflects the growing role of #AVIEW within remote imaging and post-processing workflows across North America. Annual AVIEW usage at 3DR Labs has increased by 60%, underscoring how AI can move beyond initial deployment and become a repeatable part of real-world imaging operations. Coreline Soft has also completed the transition to AVIEW 2.0 in the 3DR Labs production environment, further strengthening usability, operational stability, and reporting integration. Together, these milestones reflect a strengthened partnership focused on making AI more usable, scalable, and deeply integrated into real-world imaging workflows. #MedicalAI #RadiologyAI #ImagingAI #HealthcareAI #DigitalHealth

What if the most important technology decision you make this year isn't the next application you buy... but the foundation you build? Healthcare is evolving at an incredible pace. 🔬 Digital Pathology 🤖 AI-powered diagnostics 📸 More imaging generated outside of Radiology 🏥 Care extending beyond the four walls of the hospital These innovations are exciting but they're also raising an important question: Will your technology stack be ready for what's next? The health systems I speak with aren't just thinking about today's challenges. They're asking how to build an architecture that can support new modalities, emerging AI capabilities, and growing imaging volumes for years to come. That's why Enterprise Imaging has become much more than a storage conversation. It's about creating a flexible, interoperable foundation that allows organizations to innovate without adding unnecessary complexity. Technology will continue to evolve. The organizations that thrive will be the ones that build a foundation capable of evolving with it. 💬 What emerging technology do you think will have the biggest impact on healthcare over the next five years? #HealthcareIT #EnterpriseImaging #DigitalPathology #AIinHealthcare #HealthcareInnovation

CARPL - Radiology AI Platform nabbed a $10M Series A round to fuel new product development and international expansion. "Over the past few years, we have built the world's largest radiology AI marketplace, integrated deeply with leading enterprise PACS providers, and earned the trust of some of the largest healthcare enterprises across the globe, who rely on us as their partner in their AI and automation journeys." - CEO Dr. Mahajan, Vidur from CARPL

Both of my abstracts were accepted for RSNA 2026! I'll be presenting two pieces of the Sonador platform this year, showing two different ways AI works in a clinical setting. Automation: an event-driven pipeline that takes a knee MRI from ingest to segmentation masks and 3D planning meshes, all in DICOM. No manual steps with full lineage to the source scan. Autonomy: an AI agent that makes decisions about segmentation quality. It grades each slice, pulls precedent from prior expert assessments, and writes its reasoning back into the record. See you in Chicago! #RSNA26 https://lnkd.in/gnZWidZA

Managing high-volume echo lists demands an immense amount of sustained cognitive focus from clinical teams throughout the day. EchoConfidence supports your diagnostic expertise by completely absorbing the repetitive mechanical tasks of manual caliper tracing. The validated software natively pre-calculates 98 percent of routine metrics before the file even opens on your workstation screen. This automated architecture gives you a perfectly consistent mathematical starting point for every single case, protecting your daily energy and streamlining departmental throughput. By removing the routine data entry groundwork, your specialists can move straight to the final review phase with full authoritative control. This seamless integration ensures your laboratory stays highly efficient while completely eliminating the operational friction that slows down patient pathways. Test drive EchoConfidence with your own data to experience the operational shift live on your screen: 🔗 https://lnkd.in/e5MMFesB 📧 partnership@mycardium.com William Simner James Moon Mark Westwood Charlotte Manisty Ed C. Antony Shimmin John Ahmed Follow MyCardium AI for updates on enterprise echocardiography automation. #MyCardium #EchoConfidence #Cardiology #AI #ClinicalWorkflow

The City of Ilagan Medical Center proudly announces the official launch of its newest MRI system the NeuMR Rena 1.5T with AI Capabilities powered by Neusoft Medical Systems. This milestone marks the first city-owned MRI machine in Region II (Cagayan Valley), bringing world-class diagnostic imaging closer to our community. Equipped with advanced Artificial Intelligence technology, the NeuMR Rena 1.5T delivers faster scan times, exceptional image quality, and greater patient comfort, helping physicians make more accurate and timely diagnoses. This achievement reflects the City Government of Ilagan's unwavering commitment to providing accessible, innovative, and high-quality healthcare services for every Ilagueño and the entire Region II. #NeusoftMedicalSystems #MedicalImaging #HealthcareInnovation #NeusoftMedicalSystemsPhillippines

Did you know that our Imaging Labs ecosystem includes: 3D Labs: Expert-led 3D advanced visualization across cardiac, neuro, abdominal, MSK, and complex reconstructions, combining AI efficiency with human expertise to deliver the quality AI alone cannot. AI Labs: Clinically integrated with access to 100+ vetted algorithms through a single, vendor-agnostic connection, seamlessly fitting into your existing workflow without vendor lock‑in. Strings: The governance and orchestration layer for AI across your enterprise, keeping data in your environment while automating repetitive triage and routing work to give time back to your operational and IT teams. Together, these capabilities help radiology teams standardize complex 3D workflows, support earlier detection of findings, and manage growing imaging demand without adding internal strain. And that means a more connected approach to imaging operations, where expert service, applied AI, and governed workflow automation work together to improve consistency, scalability, and clinical impact. #ArtificialIntelligence #HealthcareInnovation #3DLabs #AILabs

Can you run multiple DL processes on the same MRI data without compromising image quality? For decades MRI lived under the trade off triangle: speed, SNR, and resolution, pick two. Deep learning reconstruction is breaking that. But each OEM designs its DL model around a specific subset of image quality dimensions, so no single model addresses the full spectrum. That is where SwiftMR comes in. Now FDA cleared for use with all OEM DL solutions, our vendor neutral, DICOM based enhancement layer works after OEM reconstruction. The strengths stack rather than interfere. 👉 How SwiftMR extends OEM DL reconstruction: 1. Enhancing the image quality dimensions OEM models were not built to address 2. Reducing noise while preserving clinically relevant detail 3. Sharpening edge definition and anatomic clarity 4. Unlocking higher acceleration and faster workflows 5. Standardizing image quality across protocols and scanner fleets 6. Extending benefits across diverse scanners, coils, and field strengths 7. Building on the OEM reconstruction without overwriting or distorting it The result: higher throughput, greater standardization, and enhanced diagnostic confidence from the scanners you already own. 📄 Read the full blog: https://hubs.ly/Q04nWpj10 Want to talk through the clinical and technical details? Reach out to our clinical experts: Anthony Rodenberg (US) at AIRS Medical. #AIRSMedical #SwiftMR #MRI #DeepLearning #MRIReconstruction #RadiologyAI