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Enterprise AI

Healthcare AI | Aidoc Always-on AI
Blog

A New Era for Hospital Domains: Care Coordination AI

Demetri Giannikopoulos, VP Innovation at Aidoc Ayden Jacob, Associate Director of Health Economics and Clinical AI at Aidoc...

Ayden Jacob, MD, MSc

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Blog

Measuring Hospital Performance: Five Essential Patient Outcome Metrics

Hospitals and health care facilities are constantly looking for ways to measure quality of care, which is no easy task. Yet...
Physician with enterprise-grade AI in hospital
Blog

Why an AI Operating System (OS) is critical to the future of hospitals

AI is the new standard of care. There’s no turning back. Hospitals are growing much warmer to the idea of AI and its integration....
doctors in a radiology room
Blog

AI Within Large Health Systems: Are We at an Inflection Point?

As artificial intelligence (AI) in health systems moves past the hype and closer to becoming the standard of care, what are...
Radiologist on computer with scans
Blog

Technological Innovation in Healthcare Accelerated by the Pandemic

This century’s greatest challenge, COVID-19 and its 216 million global cases so far, has added urgency to the development...
Healthcare AI | Aidoc Always-on AI
Blog

The Digital Transformation of Healthcare

Digital healthcare transformation is happening at an increasingly rapid rate. The current crisis in global health has increased...
physician on screen technology
Blog

What Defines AI Implementation? Three Things to Know

What defines AI implementation in healthcare? AI implementation involves leveraging the full potential of algorithms, deep...
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Blog

Expanding Enterprise AI with Radiology Partners

On April 6th, Aidoc announced a partnership with Radiology Partners, the largest radiology practice in the United States,...
AI Implementation
Blog

Successful AI Implementation in Healthcare

In order to successully implement AI in healthcare you need a clearly defined roadmap and implentation plan.
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Blog

Data-Driven Healthcare: Changing the Exchange of Information

Data-driven healthcare can be broken down into three distinct pillars: the use of data by patient and practitioner; the regulation...