Rad AI

Radiologists today face a constant challenge: navigating more information, more complexity, and less time to find the insight that matters most. That’s why this collaboration between Radiological Society of North America (RSNA) Ventures and Rad AI is so meaningful. As AuntMinnie.com reported, “RSNA Ventures is partnering with Rad AI to deliver RSNA’s content directly into workflows through Rad AI Reporting,” making it easier for radiologists to access trusted insights in real time. This partnership isn’t about adding new technology for the sake of it. It’s about designing support that aligns with how radiologists think, work, and make decisions every day. If your team is working through similar challenges in workflow efficiency, clinical clarity, or diagnostic confidence, let’s connect at RSNA. 👉 Here’s where you can find a time that works for you: https://hubs.la/Q03TBdP00 📰 Read more from AuntMinnie: https://hubs.la/Q03TBbZj0 #RSNA25 #HealthcareAI #RadiologyInnovation

Transparency is quickly becoming the new benchmark for responsible AI in healthcare. For executives, IT leaders, and clinicians, it’s no longer enough to know that AI “works.” They need confidence in how it’s built, validated, and governed. Our latest blog explores how visibility, accountability, and governance are redefining trust across healthcare AI, and why transparency must move beyond compliance to become a shared standard for decision-making. 🔗 https://hubs.la/Q03ThG810

Radiologists carry one of the toughest cognitive loads in medicine. Every day means dozens of modalities, clinical nuances, prior histories, and referring expectations. The work is high stakes and deeply interpretive. And it moves fast. One of the most meaningful things we can do is make it easier for radiologists to access the insight they already trust, right when they need it. That is why this partnership with Radiological Society of North America (RSNA) Ventures matters. Together, we are working to bring RSNA’s peer-reviewed diagnostic knowledge closer to the moment of reporting. Not as another system to click into. Not as another window to manage. But as support that fits into the natural rhythm of how radiologists think. The intention is simple: ✅ Reduce the time spent searching for confirmation ✅ Strengthen clarity in communication with referring providers ✅ Support confidence in the edge cases and gray zones that show up every day This partnership is about designing for real practice, real workflows, and real human judgment. Radiologists should not have to choose between speed and certainty. Join us at #RSNA25 to see how RSNA Ventures and Rad AI are working together to bring over 100 years of RSNA’s trusted, peer-reviewed knowledge directly into radiologists’ daily workflow. 👉 Find a time that works for you here: https://hubs.la/Q03T36Dz0

Healthcare organizations are investing heavily in AI, yet many projects remain stuck in "pilot" mode. If AI solutions are meant to tackle some of the biggest pressures on clinicians and patients, why are so few making it into everyday workflows? Our new blog, "Stop Piloting, Start Scaling," looks at how healthcare leaders who have successfully implemented AI are rethinking what success looks like and what needs to change for AI to deliver real impact. As Ainsley MacLean, MD, FACR said, “AI should make healthcare simpler, not more complex.” Read the first blog in the series here: 🔗 https://hubs.la/Q03SNqHd0

RSNA will be filled with AI demos again this year, but the conversation has shifted. Radiologists aren’t asking “What can this tool do?” anymore. They’re asking “What has it actually proven in practice?” The real challenge in 2025 isn’t finding AI that looks impressive in a booth. It’s finding AI that reduces burnout, saves time and improves patient care in real workflows, not staged ones. We break down a simple way to evaluate AI this year from what to look for and what to ignore to what questions separate a compelling solution from a useful one. 👉 Read the full blog here: https://hubs.la/Q03SDTv40

To scale AI safely and swiftly across healthcare, we must learn from industries that already operate with zero-error tolerance and massive scale: Aviation, Manufacturing, and Retail. It isn't about adapting technology; it's about adopting proven management and operational philosophies: - Aviation taught us the power of the "co-pilot" model: AI as an invisible safety layer that augments, rather than replaces, the expert clinician. - Manufacturing showed us how continuous quality assurance guarantees consistent performance, ensuring an AI diagnosis you trust today is just as reliable tomorrow. - Retail proved that building a seamless user experience and achieving total data integration is the foundation of user confidence and loyalty. The time for siloed thinking is over; we must adopt the best of all industries to create a sustainable and safe digital future for healthcare. 👉 Read the full blog here: https://hubs.la/Q03SfyF60

AI isn’t the hard part. Governing it is. Healthcare doesn’t need more proof that AI can work. It needs a reliable way to make it work every time, in every workflow, with measurable outcomes and accountability. That requires governance that’s: ✔ Strategic, not reactive ✔ Cross-functional, not owned by one department ✔ Measured in outcomes, not installs ✔ Treated as a cycle, not a phase Radiology offers the blueprint and we turned that into a 5-step governance framework with the checklists, scorecards, and decision tools leaders keep asking for. If AI is moving from experiment to infrastructure in your org, this was built for you. https://lnkd.in/eseaeney

Radiologists balance speed, precision, and focus across a wide range of complex cases. As imaging volumes continue to soar, that pressure only grows — and every second becomes more precious. When there’s a limited time to search for the right reference, trusted knowledge is needed more than ever at the moment of decision. That’s why this first-of-its-kind partnership between Radiological Society of North America (RSNA) Ventures and Rad AI matters. Together, we’re bringing RSNA’s peer-reviewed insights directly into the natural workflow of reporting to help radiologists make faster, more informed decisions with greater confidence. The goal: ✅ Reduce the time spent searching for information ✅ Strengthen confidence in complex or uncertain cases ✅ Support clearer communication with referring providers At #RSNA25, we’ll showcase how RSNA’s trusted, peer-reviewed knowledge is being integrated directly into Rad AI Reporting. See firsthand how real-time insights help radiologists work more effectively and sustainably, accelerate turnaround, and enhance patient care. 👉 Book a time to meet here: https://hubs.la/Q03RK1840

Radiology is entering a new era, one defined by measurable impact. Ahead of RSNA 2025: Imaging the Individual, the focus has shifted from pilot projects to scalable adoption, seamless integration, and real-world outcomes. Our latest blog breaks down five trends shaping radiology’s next chapter, including the new partnership between the Radiological Society of North America (RSNA) Ventures and Rad AI, a collaboration that brings peer-reviewed research and workflow innovation together to help radiologists save time and reduce fatigue. Explore the insights and innovations driving radiology’s evolution in 2025 and beyond. 👉 https://hubs.la/Q03RC3MZ0 #RSNA2025 #RSNA2025 #RadiologyAI #HealthcareAI #MedicalImaging

Health systems are being offered “free” AI pilots at record pace. But the real cost shows up later in staff time, stalled projects and lost trust when nothing makes it to production. In a new MedCity News | The Latest in Healthcare Innovation piece, Demetri Giannikopoulos asks a harder question: Are pilots helping healthcare adopt AI, or are they becoming the biggest barrier to it? Read the full article: https://lnkd.in/grizYWdT One question for anyone who has been close to this: What separates an AI pilot that becomes a real deployment from one that dies on the vine?