How Ango Hub's tools improve breast imaging analysis

🩻 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👇

Every October the world turns pink. For Radiology, this month hits closer to home. Early detection starts here. Every image, every pixel, every decision shapes a life that might otherwise be lost. Across the industry, innovation in breast imaging has never moved faster. Hologic, Inc. continues to lead global screening standards through advanced tomosynthesis. iCAD and Therapixel are redefining how radiologists read, using AI to improve accuracy, confidence, and efficiency. ScreenPoint Medical, and Clairity, Inc. are turning deep learning into practical clinical support, expanding access and reliability across the world. Behind every algorithm is a team of Engineers, Radiologists, and leaders united by one mission: to catch what others cannot see. This month we remember why Radiology matters. The science, the software, the people. All working toward one goal: giving more women more time. #BreastCancerAwarenessMonth #Radiology #AI #Mammography #Oncology #MedTech #Innovation #Imaging PROJECTUS

AI in radiology keeps making headlines — but outperforming humans on narrow tasks isn’t the same as replacing them. Most models answer a single question (“Is there pneumonia?”), while radiologists interpret the whole scan, true context engineering. And many tools lose significant accuracy when tested outside their training data. Powerful? Absolutely. A full replacement? Not even close. https://lnkd.in/dp_hQkQ7

Eden is building the leading radiology operating system in Latin America. Supported by global investors and powered by cutting-edge AI, we are eliminating the technological barriers that hinder specialists and compromise patient care. Read the full article at Contxto: https://lnkd.in/dVne8xFX

Somewhere out there, a patient is still trying to open their CT scan CD… on a laptop without a CD drive. That’s why we built Naviget — an AI powered, medical imaging platform that helps diagnostic centers convert scans into 3D visualizations, upload reports and share them instantly with patients and doctors. We’re not here to “disrupt” healthcare — just to make it make sense. Here’s a short video that shows what we’re building (and yes, it has better music than your MRI waiting room). #Naviget #AI #HealthTech #Radiology

AI and humans error differently. Watch more on AI and radiology on our podcast Radiologists with Dr. Benjamin Fine ➡️ https://ow.ly/AjHT50X05hI U of T Medical Imaging, Trillium Health Partners

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.

🔍 Effective Dose Estimation in Computed Tomography by Machine Learning Radiation dose management is a critical aspect of CT imaging. This study introduces a machine learning approach for estimating effective doses, offering new perspectives on patient safety and optimization of imaging protocols. 👉 Read the article: https://brnw.ch/21wW6bD

AI isn't magic. It's a second pair of expert eyes. Let's demystify AI in radiology. Think of it not as a complex, impersonal algorithm, but as a colleague who has reviewed millions of scans and can instantly flag potential areas of concern. This "second read" provides crucial support, enhancing diagnostic confidence and ensuring nothing gets missed, especially at the end of a long shift. It's about creating a safer, more consistent standard of care. Is your organization ready to embrace AI as a clinical partner? Let's have a confidential chat about what a practical, phased implementation could look like for your team. #AIinHealthcare #DeepLearning #PatientSafety #Innovation