JAY GURNEY’s Post

Scan smarter, not more! In the 24th RadAccess issue, we cover how AI can improve our sensitivity and imaging efficiency. 👉 https://lnkd.in/enBTPsqE In this issue, we cover: - More updates from Cerebriu, including an $11.1M Raise and CE Mark for their Apollo Smart Protocol in partnership with Siemens Healthineers - In 100K case study, digital breast tomosynthesis increased sensitivity without more false positives with Stefanie Weigel, Hans-Werner Hense, Univ.-Prof. Dr. med. Walter Heindel, et al. - Some though on increasing imaging capacity with AI that I shared at American Society of Functional Neuroradiology ASFNR in Austin, TX.

Want to see what's next in imaging innovation? Paul Yi, MD highlights the annual meeting as the world's best place to exchange ideas, connect with colleagues and shape the future of #Radiology. Find the next clinical AI tool at #RSNA25! https://lnkd.in/gs6sd-Hi

How Vivantes Uses deepcOS® to Turn Radiology AI into Everyday Value   Most AI solutions in diagnostic imaging are still seeking proven clinical impact. At the R3 Imaging Congress in Konstanz, Dr. Anna Martina Bröhan and Tim Papalla from Vivantes – Netzwerk für Gesundheit GmbH explained how deepcOS® helps them focus on those that deliver.   With deepcOS®, Vivantes can scale quickly without layers of contracts or approvals. Their IT team spends less time on maintenance and more on innovation. Clinicians gain flexibility to test AI across sites, while usage insights and feedback loops flow back into continuous improvement.   For Vivantes, our platform is not only the infrastructure, but also the bridge between AI’s promise and measurable progress in radiology.

🚀 The new AI Central is here. Have you checked it out yet? The American College of Radiology Data Science Institute has updated AI Central — the go-to hub for FDA-cleared medical imaging AI. With the latest updates, you can: ✅ Explore newly cleared AI tools in radiology ✅ Access resources to guide safe, ethical adoption ✅ Connect innovation directly to quality and patient care AI Central isn’t just a directory — it’s a roadmap for responsible AI adoption. 👉 See what’s new today: https://lnkd.in/eCKP-s3E #MedicalAI #Radiology #ACRDSI #ResponsibleAI #HealthcareInnovation Christoph Wald, M.D., Ph.D., M.B.A., F.A.C.R. Woojin Kim Christopher Treml Paige Nierengarten Tessa Cook MD PhD FSIIM FCPP FAAR FACR Mike Tilkin Laura P Coombs, PhD Bernardo Bizzo

🚀 Excited to share our new publication in Skeletal Radiology! We present 𝗗𝗟 𝗖𝗮𝗿𝘁𝗶𝗚𝗿𝗮𝗺, a deep learning–enhanced accelerated T2 mapping sequence for fast and reliable cartilage imaging in clinical settings. 🔁 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝘁 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗿𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗯𝗶𝗹𝗶𝘁𝘆 across multi-site phantom experiments ⏱️ 𝟰𝟬% 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝘀𝗰𝗮𝗻 𝘁𝗶𝗺𝗲 𝗶𝗻 𝘃𝗶𝘃𝗼, with 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗧𝟮 𝘃𝗮𝗹𝘂𝗲𝘀 comparable to conventional mapping 🙏 A big thank you to my co-authors and collaborators at 𝗨𝗖𝗦𝗙, 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱, and 𝗖𝗹í𝗻𝗶𝗰𝗮 𝗖𝗘𝗠𝗧𝗥𝗢 for making this work possible. Looking forward to the clinical impact of DL CartiGram in quantitative cartilage biomarker assessment. 👉 Read the full article: https://rdcu.be/eG9o5 📷 1-𝘺𝘦𝘢𝘳 𝘧𝘰𝘭𝘭𝘰𝘸-𝘶𝘱 𝘴𝘵𝘶𝘥𝘺 𝘢𝘧𝘵𝘦𝘳 𝘤𝘢𝘳𝘵𝘪𝘭𝘢𝘨𝘦 𝘪𝘮𝘱𝘭𝘢𝘯𝘵𝘢𝘵𝘪𝘰𝘯 (𝘱𝘶𝘳𝘱𝘭𝘦 𝘢𝘳𝘳𝘰𝘸). #DeepLearning #CartilageImaging #QuantitativeMRI #T2Mapping #SkeletalRadiology #GEHealthCare Maggie Fung Florian Wiesinger Bruno Astuto Anja Brau, PhD DJ Quam Mario Padron

UCSF Center for Intelligent Imaging is highlighting how AI is transforming breast imaging care. Dr. Maggie Chung's recent study at Zuckerberg San Francisco General Hospital and Trauma Center used an AI risk model to prioritize high-risk patients and dramatically shorten wait times for results and biopsy. Dr. Chung's work shows how AI can help radiologists bring the right care to the right patient at the right time. Read more about the team's research and the impact of AI in breast imaging: https://lnkd.in/dXQ3c_9e #BreastCancerAwarenessMonth

The energy at Saturday’s Strategic Radiology, LLC (SR) Fall Summit made it clear: Harrison.ai is the indisputable global leader, soon-to-be US market leader in imaging AI. During the event, our co-founder Dimitry Tran shared some powerful insights. When asked about the current conversation on AI and radiologists, he cut right to the heart of it: Headlines don't change lives. Outcomes matters today. That’s why we’re so energized by innovative partners like Radiology Associates of North Texas, P.A. and Inland Imaging, ushering in a new era of clinically meaningful results together. Do you want to find out why leading radiology practices and health systems across the country are prioritizing a partnership with Harrison? Reach out to Josh Duncan or Dimitry Tran to learn more.

See how radiologists can better track changes in breast tissue with Ango Hub’s advanced imaging tools. Annotators can view up to 16 DICOM images simultaneously to compare mammograms over time, highlight key regions of interest with tools like Polygon, Brush, and Angle, and streamline diagnostic workflows. Watch the demo to see how Ango Hub enhances breast imaging interpretation: https://lnkd.in/d8uzur5j #BreastImaging #MedicalImaging #DICOM #MedicalAI #DataAnnotation #AngoHub

🩻 Excited to share this short demo I recorded, highlighting how Ango Hub by iMerit empowers radiologists to track and annotate changes in breast tissue over time, with precision and ease. By enabling comparison of multiple DICOM images and offering intuitive tools to mark key regions of interest, Ango Hub helps streamline breast imaging workflows and enhance diagnostic insights. Watch the demo below to see how our platform supports more efficient and accurate medical image annotation👇