#teamsegmed

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Bytes of Innovation: Inside The Minds Shaping Healthcare AI

Now Streaming: Segmed on YouTube We’re sharing conversations, insights, and real-world perspectives on how AI is shaping the future of healthcare, from medical imaging to clinical research. On our YouTube channel, you’ll find: • Bytes of Innovation sessions: expert discussions unpacking the latest in healthcare AI • Interviews with healthcare and AI leaders • Practical insights on real-world medical data • Highlights and recordings from scientific conferences and panels around the world

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🖤🩻 The Technical Exhibition Show at the Radiological Society of North America (RSNA) Annual Meeting wraps up today, and it’s been an incredible week filled with innovation, insight, and meaningful conversations. From groundbreaking imaging research to powerful discussions on the future of AI in healthcare, RSNA continues to set the standard for what’s possible when technology, data, and clinical expertise come together. At Segmed, we’re grateful to everyone who stopped by, shared ideas, asked thoughtful questions, watched live demonstrations, and explored how real-world and multimodal imaging data can accelerate research and improve patient outcomes. We truly enjoyed connecting with so many of you who are shaping the future of medical imaging and AI. A huge thank you to our amazing hashtag#TeamSegmed - your energy, passion, and hard work made the week not just successful, but truly fun and memorable. We couldn’t have done it without you! Thank you to the RSNA community for another inspiring event. We’re excited to carry these conversations forward - see you next year!

For more information visit: https://www.segmed.ai/resources/events

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The Future of AI in Medical Devices: FDA Guidelines & the Value of Imaging Data Artificial Intelligence (AI) and Machine Learning (ML) are transforming medical devices — enabling faster, more accurate diagnostics, smarter treatment plans, and adaptive learning from real-world use. But as AI evolves, so does the regulatory landscape. In our latest blog, the Segmed Team explores: 🔹 How the FDA’s evolving guidance supports AI/ML-based medical devices 🔹 Key challenges for AI developers, from dataset bias to privacy hurdles 🔹 The critical role of real-world imaging data (RWiD) in creating regulatory-grade, generalizable AI models With access to 100M de-identified, annotated imaging studies from 2,000+ healthcare locations worldwide, Segmed empowers AI and MedTech developers to build safer, effective, and FDA-ready medical devices. 📖 Read the full blog: https://www.segmed.ai/resources/blog/future-of-ai-powered-medical-devices-fda-insights

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🩻 Innovations in Medical Imaging Data, Now FDA-Cleared ✅ Medical imaging data is reshaping how healthcare innovations move from concept to clinic. We’re highlighting four breakthrough solutions that recently earned FDA clearance, each demonstrating how imaging data is driving smarter decisions and better patient outcomes. 🚀 Customer Spotlight: From Concept to Clinical Practice – How Segmed Helped RadUnity Fast-Track FDA Clearance With Segmed’s real-world imaging datasets, RadUnity accelerated their FDA clearance process, without sacrificing clinical rigor. Speed and quality can go hand in hand, and this case study shows how data-driven strategies are transforming regulatory pathways and redefining the pace of healthcare innovation.

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🖤 Revolutionizing Radiology with Tokenized & De-Identified Imaging Data 🖤

Radiology plays a critical role in disease detection, treatment planning, and monitoring. But as imaging data grows in volume and complexity—and often contains sensitive patient info—privacy and interoperability become major challenges. That’s where tokenization comes in: substituting sensitive data with secure, non-reversible tokens to protect patient privacy while preserving data utility. ✨ Why tokenized imaging data matters: 🔹 Enables secure, multi-modal data integration across clinical, imaging, and claims datasets 🔹 Strengthens patient privacy & ensures HIPAA/GDPR compliance 🔹 Boosts interoperability across healthcare systems and platforms 🔹 Minimizes data breach risks by keeping sensitive info off internal systems 🔹 Simplifies data management & access control 🔹 Facilitates privacy-preserving research & AI-driven innovation 🔹 Scales across clinical diagnosis, R&D, and healthcare analytics At Segmed, we provide regulation-grade, tokenized imaging datasets tailored for pharma, medtech, and AI innovation — linking imaging data with other clinical info to accelerate breakthroughs. 🔗 Read the full blog post to learn more about how tokenization is transforming radiology and healthcare innovation. Ready to explore how tokenized imaging data can transform your healthcare research? Let’s connect!

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📣🔥1,000 Reasons to Celebrate: Our 2020 Radiology paper has just crossed 1,000 citations! Preparing Medical Imaging Data for Machine Learning tackles one of AI’s biggest bottlenecks: how to gather, curate, and annotate large, diverse medical imaging datasets for robust training and clinical implementation. It’s now been cited over 1,000 times and downloaded nearly 50,000 times. This is a rare feat in this field. 🔗 Find out more about this milestone here: https://hubs.li/Q03vHK0N0 This level of engagement is a testament to the ongoing need of healthcare innovators for standardized data workflows. Huge thanks to the AI medical imaging community for building on, citing, and sharing our work. 🔗 Link to paper: https://hubs.li/Q03vHGS90

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🩻✨ Milestone moment for Segmed! | Segmed, Inc.

🩻✨ Milestone moment for Segmed! 🖤 Our Radiology paper on preparing medical imaging data for AI just hit 1,000 citations and almost 50,000 d

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Unlocking The Power of Real World Imaging Datasets in R&D - Clinical Trials

Discover how Real-World Imaging Datasets (RWiD) are transforming clinical trials—enhancing patient selection, optimizing trial design, and accelerating evidence generation. Our latest blog explores how RWiD improves efficiency, reduces costs, and integrates AI/ML for groundbreaking insights in R&D. Read now to see how imaging is shaping the future of clinical trials!