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At the European Congress of Radiology (ECR) 2026 in Vienna, one shift became impossible to ignore: healthcare AI has moved beyond experimentation and into real clinical infrastructure.
Across presentations, panel discussions and conversations with hospital leaders, the message was consistent. The debate is no longer about whether AI works. Instead, radiology leaders...
As health systems shift from fee-for-service (FFS) to value-based care (VBC) models, radiology is emerging as a lever for both improving patient outcomes and reducing costs.
In this post, we explor...
AI is no longer confined to radiology. It’s rapidly shaping care across multiple service lines. At Lehigh Valley Heart and Vascular Institute, interventional cardiologist Shailendra Singh, MD, has seen firsthand how Aidoc’s AI platform is transforming workflows for time-critical conditions like pulmonary embolism (PE).
As Associate Director of Interventional Cardiol...
As clinical AI enters its next phase, 2026 won’t be defined by louder claims or flashier demos. It will be shaped by something far more consequential: how AI actually behaves in real clinical environments and how healthcare organizations respond.
From the bedside to the boardroom, three forces are converging to redefine success in clinical AI:
A fundamental ...AI is rapidly transforming how clinicians deliver aortic care, but not all AI solutions are created equal.
Aidoc delivers real clinical impact, supporting clinicians and their patients when every minute counts. Our AI solutions help:
Flag both suspected and unexpected findings, ensuring no critical detail is missed. Prioritize pat...