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Scaling AI

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A Candid Conversation About Clinical AI Adoption, Governance and Real-World Impact

For many health systems, the challenge isn’t just whether to adopt clinical AI, it’s how to do it effectively. ...
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Clinical AI, Demystified: A Q&A with Aidoc’s Chief Product Officer

What separates an AI strategy that scales from one that stalls? It’s a question more health systems are asking as the gap...
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Clinical AI Platform vs. Marketplace: What's the Difference — and Why It Matters

Successfully implementing clinical AI can reshape the trajectory of a health system — improving margins, energizing staff...
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5 Reasons Your Clinical AI Platform Needs Intelligent Orchestration

Not all AI platforms are created equal. Many rely on static workflows or incomplete data, leaving gaps in accuracy and efficiency....
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The Urgency of Scale: Clinical AI's Impact in Transforming Healthcare in the U.S.

The U.S. spends more than twice as much on healthcare as other wealthy countries, yet faces worse outcomes, according to...
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Driving AI Adoption in Healthcare: Radiologists at the Helm

AI is rapidly transforming the way health systems deliver care by streamlining workflows, driving efficiency and improving...
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Beyond the Pitch: Lessons from HIMSS on AI, Governance and Leadership

The Healthcare Information and Management Systems Society (HIMSS) annual conference always brings forward valuable conversations,...
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ECR 2025: Scaling AI for a Smarter Future in Radiology

Vienna once again played host to one of the world’s most influential medical imaging events — ECR 2025 — bringing together...
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Safeguarding Healthcare in the Age of Clinical AI

To fully realize AI’s benefits, health systems must mitigate risks through strong governance — a framework of policies...
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How Did We Get Here? The Evolution of Foundation Models in Healthcare

Built on decades of advancements in machine learning (ML) and neural networks, foundation models stand to address long-standing...