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Platform

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Orchestration in Medical Imaging AI: Maximizing Accuracy, Yield and Unexpected Findings

Enthusiasm around AI in healthcare often dims when day-to-day challenges arise. Poor workflow integration, alert fatigue,...
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Assessing the Benefits of AI When Choosing Your Hospital’s Platform Vendor

The Value of Healthcare AI Platforms Healthcare AI platforms are emerging as a unified solution to the challenges posed by...
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Why Radiology Departments Must Insist on AI Platforms

The clinical AI hype has spread like wildfire. The crowd of skeptics have largely converted to believers, and we’ve seen...
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The Challenge of Data Deluge: Will AI Sink or Swim?

Patient data is increasingly voluminous in today’s age of digitized healthcare. The problem is this data is often unstructured,...
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Changing How Clinicians Work With AI

While bringing AI into the fold can improve workflows, it’s only as effective as the clinicians who use it. Sunil Dadlani,...
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AI in Healthcare: The Ultimate Guide

Last modified: May 16, 2024 Over 700 devices are categorized as “artificial intelligence and machine learning enabled medical...
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AI Platform: Pros and Cons

An AI platform – also referred to as an AI operating system – provides a centralized infrastructure that allows for...
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Radiology AI Deployment at Scale for Multiple Pathologies

Dr. Dushyant Sahani, Chair of Radiology at University of Washington Medicine, explains the imaging volumes and experience...
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What Does AI Look Like in an Enterprise Radiology Workflow?

Dr. Dushyant Sahani, Chair of Radiology at University of Washington Medicine, explains how radiology AI is deployed across...
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Why An Enterprise Approach to Healthcare AI is Needed

In a recent webinar about the evolution of AI in radiology, Aidocee Demetri Giannikopoulos discussed the “analysis paralysis”...