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Not All AI Is Equal: A Comparative Study of Three Imaging Algorithms

Aidoc

The adoption of artificial intelligence (AI) in medical imaging has experienced substantial growth in recent years, with more than 450 AI-based medical devices gaining approval in both Europe and the USA.

PACS 59
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Why Enterprise-Wide AI Requires Image- and Report-Based AI

Aidoc

Since AI has found its place in the workflows of radiologists , the novel technology continues to expand to other hospital service lines, increasing its potential to impact workflows beyond the reading room. Aidoc manufactures medical and non-medical devices.

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Paige and Nuance Collaborate to Establish the Largest Consultation Network in Pathology

Imaging Technology

This digital pathology solution is an excellent and important addition to the growing portfolio of collaborative radiology, medical device and other solutions that harness the PowerShare network’s ubiquity, reliability and security to support the earlier detection and treatment of disease and empower physicians to deliver high-quality care.”

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The Future of Radiology with 5G

Vesta Teleradiology

If you’ve been to the doctor’s office, hospital , or any healthcare building recently, you might have noticed an upgrade in technology. In lieu of a paper and pen, a nurse may have an iPad or desktop computer to take your medical history. Instead of a sign-in sheet, you may have been handed a fingerprint scanner.

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AI in Hospitals: A Journey of Discovery, Depth and Deployment

Aidoc

With that in mind, there comes an array of things to consider as it relates to AI what it does at the level of clinical care: What does AI help hospitals accomplish right now? To date, the FDA has over 850 AI/ML-enabled medical devices listed on its website. How will AI fit into my hospital in the long term?

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What is Mobile Imaging, and How It Can Simplify Your Medical Care?

Alpha One Imaging

As mentioned above, the three primary imaging technologies are X-Ray, EKG and Ultrasound, which can be utilized for various purposes: X-Ray: Detect injury to bones, identify bone deformities and verify bone healing. Verify placement of other medical devices such as implantable pumps and catheters. Detect pneumonia or bronchitis.

Medical 52
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AI in Healthcare: The Ultimate Guide

Aidoc

Over 700 devices are categorized as “artificial intelligence and machine learning enabled medical devices” on the FDA website. Healthcare examples : Chatbots for billing and scheduling or filtering and organizing data within a medical device, such as an MRI or CT scanner.