Rad AI

RSNA season always comes with a wave of “predictions,” but let’s be honest. Half the fun is seeing what people get right and what everyone misses entirely. So we pulled together our take on the six things we expect to actually shape Chicago this year. Not the flashy booth headlines, but the real shifts happening inside practices and health systems. The ones that show up in reading rooms. The ones that change how the specialty works. Take a look and tell us: What do you think we have right and what did we completely miss? Read the full blog here: https://hubs.la/Q03VjHFP0

Every leap in radiology has been driven by radiologists themselves, and AI will be no different. In our newest CMIO Q&A, Dr. Rishi Seth MD CIIP explores why radiologists hold the key to meaningful AI adoption. From workflow integration to real-world validation, his reflections reveal how radiologists are transforming AI from hype to true impact. Read the full Q&A: https://hubs.la/Q03V5BXD0

We’re honored to be named #4 in the Bay Area and #36 nationwide on the Deloitte #Fast500, marking our second year in a row on the list! Most importantly, this recognition reflects the trust our partners place in our physician-led approach to building AI solutions that radiologists rely on every day. Radiology is stretched thin. Rising volumes, growing complexity, and ongoing workforce shortages are driving burnout across a specialty that carries one of the highest cognitive loads in medicine. And yet, day after day, radiologists show up with a level of precision, focus, and dedication that keeps patients safe and keeps healthcare moving forward. Radiologists deserve technology that eases their workflow, not adds to it. They deserve tools that actually work. Tools that are reliable, intuitive, and free of friction. This recognition reinforces why we invest so deeply in working with radiologists and why we will never stop striving to deliver real, measurable improvements to their day. Thank you to our Radineers, Kimberly Almcrantz, Michele Obermeyer, Victoria Lu, Ksenia Vanatskaya, and Matthew Perez, for representing Rad AI! Read the full press release here: https://lnkd.in/eK7g47Ju 

For more than a century, radiology has taken emerging technologies and turned them into dependable clinical practice. Radiologists do more than adopt new tools. They evaluate them carefully, test them in real workflows, refine what truly helps, and set the standards the rest of healthcare eventually follows. AI will be just as transformative, and radiology is uniquely positioned to guide its responsible adoption. Our AI Governance ebook gives leaders a practical 5-step framework to move AI from experimentation to a governed capability that improves patient outcomes, strengthens operations, and meets regulatory expectations. What you will get: ✔ Strategic guidance for the healthcare leaders and practical tools for implementation teams ✔ Checklists, role charters, decision criteria, and vendor due-diligence questions ✔ Templates for project intake, risk reviews, success metrics, and ongoing monitoring 📘 Download the 5-Step AI Governance Framework: https://hubs.la/Q03TSVlP0

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