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Scaling AI

Blog

How Ochsner Health Built a Governance Model for Sustainable, System-Wide AI Adoption

As the volume of AI solutions grows, so does the burden on health systems to manage them responsibly. For Ashley Weber, Vice...
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What's Missing from AI Marketplaces? Workflow, Trust and Clinical Impact

The concept of an AI marketplace sounds great on paper: a digital bazaar where health systems can shop for algorithms. However,...
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AI Adoption Isn’t Just Technical — It’s Cultural

For health systems looking to adopt AI at scale, the challenge isn’t simply technical implementation. It’s also trust,...
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From Startup to Systemwide: How Jefferson Einstein Scaled AI from One Use Case to an Enterprise Platform

In 2017, Aidoc was just a small booth in the basement of the Radiological Society of North America (RSNA). That’s where...
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3 Things That Make Aidoc's Radiology Solution Stand Out

Healthcare leaders are navigating pressures from every angle — increased imaging volume, burnout, siloed and fragmented...
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How Foundation Models Will Redefine “Enterprise” AI in Healthcare

The term “enterprise-grade” is everywhere in healthcare AI. Often, it refers to marketplaces that bundle multiple point...
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Foundation Models 101: Why the Future of Clinical AI Starts Here

In the last decade, AI in healthcare has evolved rapidly but unevenly.  While we’ve seen remarkable breakthroughs...
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What’s Missing from the AI Conversation? A Blueprint.

We’ve all been at the same conferences. We’ve all heard the same pitch: This AI will transform! This AI will revolutionize!...
Blog

What Real AI Adoption Looks Like Inside Two Health Systems

In a recent webinar, Avi Sharma, MD, CIIP,  Jefferson Health, and Leonardo Kayat Bittencourt, MD, PhD, University Hospitals,...
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11 Things a Clinical AI Platform Must Deliver

If the first wave of healthcare AI was about access, the next is about the operating system. Because here’s the truth:...