Rad AI

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?

In our latest webinar, “Beyond the Hype: What Healthcare Really Needs from AI,” the panel explored how AI is delivering real impact in healthcare today. The first key takeaway? Meaningful innovation occurs in the everyday workflows that clinicians rely on the most. When AI addresses bottlenecks such as documentation and reporting, the impact is immediate—measurable efficiency, smoother workflows, and more time for radiologists to focus on the highly skilled work for which they were trained. Ainsley MacLean, MD, FACR, explains the practical approach she’s seen drive real results in clinical practice. 👉 Watch the full webinar here: https://lnkd.in/eDfNK3wA #AIinHealthcare #HealthcareInnovation #RadiologyAI

We’re proud to partner with Amazon Web Services (AWS) to help radiologists nationwide reduce burnout and deliver better patient care. Our partnership with AWS empowers healthcare teams to securely scale AI innovation, streamline radiology workflows, and deliver measurable results for patients and providers alike. Through the AWS Startup Partner Program, we’re accelerating our growth and expanding our reach to bring these benefits to even more radiologists across the country. Hear from our Director of Channel Sales, Mike LaChance, at the recent #StartupPartnerSummit2025 on how partnerships like Rad AI + AWS are transforming the future of healthcare. #AWSGlobalStartupProgram #AWSStartups #AWSPartners

Radiology has always been at the center of transformation — from wartime sonar to AI tools reshaping clinical workflows. We rounded up 10 surprising (and sometimes forgotten) facts that show just how innovative this field has always been. Swipe through to learn and tell us in the comments which fact surprised you most! 👇 🔗 Download the infographic here: https://lnkd.in/e8tZVeCW  

Generative AI is reshaping industries at record speed. The key to building meaningful products in this ecosystem? Start with the customer, not the code. Hear Dr. Sai Balasubramanian, M.D., J.D. and Bow Archer, Senior Staff Software Engineer at Rad AI, unpack this in the latest episode of Rad AI’s Imagining the Future podcast. 🎧 Listen to the full episode here: https://lnkd.in/e4SfePGV

RSNA will bring no shortage of compelling AI demos this year. The real differentiator will be how well radiology leaders can separate signal from noise. The vendors who stand out won’t be the ones with the flashiest models. They will be the ones who can show how their solutions integrate into real workflows, deliver reliable value, and support radiologists in practice. If you're planning to evaluate AI partners at RSNA, the questions you ask will matter. We’ve outlined three considerations to help guide those conversations. Read here: https://hubs.la/Q03QhDxM0