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Scaling AI

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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!...
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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:...
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Why We Stopped Building Only Algorithms and Started Building Infrastructure

Aidoc didn’t start as a platform company. Like many others in the clinical AI industry, we started by building a best-in-class...
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Not All AI Platforms Are Platforms: How to Spot a Marketplace in Disguise

One of the most dangerous assumptions in healthcare AI? Thinking a marketplace is a platform. In today’s crowded landscape,...
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The Hidden Costs of Clinical AI Marketplaces

The term “AI marketplace” gets thrown around a lot, but it rarely means the same thing twice. In fact, there...