Aidoc

Clinical AI is evolving, and with it, the way we approach patient care. Aidoc’s CARE™ Foundation Model is setting a new standard—trained on millions of medical exams and leveraging advanced multimodal capabilities to drive the next generation of AI in healthcare. This impact is already real. We recently secured FDA clearance for our Rib Fractures triage solution, the first AI tool built on CARE™. Running on our exclusive aiOS™ platform, this milestone marks a major step forward in using AI to enhance radiology diagnostics and support clinical decision-making—helping care teams act faster and with greater precision. In Forbes, Dr. Sai Balasubramanian, M.D., J.D. explores how this work is creating a new benchmark for speed and accuracy in clinical AI. With Amazon Web Services (AWS) providing the infrastructure to scale these capabilities, we’re ensuring AI is deeply integrated into the clinical workflow. Read more: https://lnkd.in/eMsPf9dq

In healthcare, change is inevitable—and often rapid. Clinical AI is one such transformative force offering clinicians a powerful tool to augment their decision-making, helping to enhance accuracy and efficiency. In this blog, Aidocee Joshua Streit shares three things to leave behind to fully unlock an AI-empowered health system. https://okt.to/ZhAEkK

What does clinical AI look like in an enterprise radiology workflow? Dushyant Sahani, MD, Chair of Radiology at University of Washington School of Medicine, explains how radiology AI is deployed across the enterprise, and how radiologists use AI at their workstations to help improve clinical efficiency. Watch: https://okt.to/fz5kTM

“AI is not a mystery black box; it’s a valuable addition to our toolkit." Physicians using clinical AI every day know it’s an essential tool—proven to help transform clinical workflows, patient care and hospital operations. Industry leaders share real-world stories around clinical AI's impact in their communities. More: https://okt.to/NSEAX8

A strong clinical AI strategy isn’t just about adopting tools; it’s about aligning innovation with the long-term goals of health systems. Think of it as a compass, guiding you through the complexities to scalable, impactful outcomes. From which integration method best suits your patient care needs to cross-department alignment, this approach helps empower health systems to thrive, not just adapt. https://okt.to/K4pyEU

Aidoc is proud to collaborate with the Coalition for Health AI (CHAI) to contribute to the development of model cards—a powerful tool for accelerating adoption by providing streamlined, technically accurate and relevant insights. Demetri Giannikopoulos, Chief Transformation Officer, shares how model cards are driving meaningful change in AI governance. Read the full interview below.

The Aidoc team had a great time at #ECR25, connecting with industry leaders and diving into the latest advancements in radiology. A few themes stood out: ▪️Adoption is growing but real value comes from deployment at scale. ▪️A three-year, Germany-wide survey shows AI is boosting efficiency and job satisfaction. ▪️Imaging plays a key role in building a more equitable, sustainable healthcare system. Aidocee Nicola Emery, PhD, explores more in this blog: https://okt.to/Mkxvhf What were your biggest takeaways from ECR 2025?

In 1890, Warren and Brandeis published the “The Right to Privacy,” considered one of the most influential legal essays in American history. Fast forward to today—while the essence of privacy remains the same, its challenges have evolved significantly. In clinical AI, the stakes are particularly high. Patient data powers transformative healthcare solutions, but also tests the boundaries of privacy, consent and trust. How do we innovate responsibly while safeguarding dignity and autonomy? Chief Information Security Officer Yuval Segev says the solution lies in collaboration, between policymakers, developers and providers—to create frameworks that balance progress with protection. https://okt.to/MnIFEh

Cardiologists are facing an overwhelming volume of data and administrative burdens, contributing to rising burnout that can impact patient care. In a recent American College of Cardiology podcast, Chief Transformation Officer, Demetri Giannikopoulos, Nishath Quader, MD, and Effie Andrikopoulou, MD MBA FACC FASE, explore how AI-driven automation can help reduce burnout. Listen: https://lnkd.in/efrqVmen

When it comes to improving workflows and key metrics for the emergency department, clinical AI offers a solution to help: •Patient throughput •Length of stay •Communication Aidocee Sonia Rana explores these points and the future of AI-supported care in the ED. https://lnkd.in/e-BhmJvE