#realworlddata

🧠 Reblog if you’re done pretending chaos is compassion 🛡️ Follow if you’re sick of being told you’re heartless for valuing order 🔁 Comment if you think murder shouldn’t be a prerequisite for policy change 💀 Screenshot this before it mysteriously violates “community guidelines”

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

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

At the RWEsearch and Health Innovation Summit 2025, hosted by Healthark, Grace McNamara B.Sc. MPH. EMBA. CertDir, Partnerships Director at Elfie highlighted that diversity goes beyond demographics and requires trust, accurate self-reported measures, and stronger #dataintegration to drive precision healthcare. She emphasized that lived experiences and daily measures are essential to overcoming data fragmentation and building true patient-centred diversity.

🚀 Segmed at RSNA 2025: Unlocking the Power of Real-World Imaging Data 🚀 We’re excited to share that Segmed is heading to RSNA 2025, where we’ll spotlight how Real-World Imaging Data (RWiD) is transforming every stage of the AI lifecycle — from Foundation Model development all the way to regulatory submission readiness. This year, we’re proud to be featured in a AI Theather Session with Microsoft, diving into how high-quality, tokenized, de-identified imaging data accelerates model performance, safety, and clinical reliability. 🔗 Event details: https://www.segmed.ai/events/segmed-rsna-2025 🌐 Why RWiD Matters More Than Ever Healthcare Foundation Models (HFMs) are reshaping medical AI — but real-world deployment requires more than generalized training. Clinical imaging varies dramatically by modality, equipment, demographic factors, and context. Without robust fine-tuning, even strong HFMs risk: ⚠️ Missing subtle diagnoses ⚠️ Failing to generalize across populations ⚠️ Stalling on the path to clinical validation and regulatory clearance At Segmed, we bridge that gap with the industry’s most diverse, global imaging dataset: 📊 100M imaging studies 🏥 2,000+ healthcare sites 🌎 Across 5 continents 🔐 Fully tokenized, de-identified, regulatory-ready Fine-tuning with Segmed’s RWiD enables: ✅ Higher diagnostic accuracy ✅ Diverse patient cohorts ✅ Stronger safety and performance evidence for regulatory submissions ✅ Real-world reliability that gets AI from the lab into the industry Dive deeper into how RWiD elevates HFM development in our latest blog post: 👉 https://www.segmed.ai/resources/blog/fine-tuning-healthcare-foundation-models-with-rwid If you’re building the next generation of medical AI, let’s connect at RSNA. Segmed is here to streamline your journey from Foundation Models to regulatory-grade evidence — powered by Real-World Imaging Data.

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

💡 Real-world imaging data (RWiD) is becoming a game-changer in medical device innovation For decades, medical devices were validated primarily through controlled clinical trials. But today, regulators, payers, and innovators are turning to real-world imaging data to prove safety, performance, and patient outcomes in everyday clinical practice. In our latest blog, we explore: 🔹 Why device companies are shifting to RWiD for development, validation, and regulatory readiness 🔹 How RWiD reduces bias, enhances equity, and accelerates R&D timelines 🔹 Real-world applications—risk stratification, regulatory submissions, and 360° device performance insights 🔹 How Segmed provides access to 100M+ regulatory-grade imaging datasets to power safer, faster, and more effective MedTech innovation 👉 Read the full article here: https://www.segmed.ai/resources/blog/real-world-imaging-data-in-medtech-innovation At Segmed, we’re helping MedTech companies transform innovation with diverse, high-quality imaging data—supporting earlier detection, stronger regulatory submissions, and better outcomes for patients worldwide.

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