Technology Report:

Artificial Intelligence

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Technology Report: Artificial Intelligence 2019

In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence (AI) advances at the Radiological Society of North America (RSNA) 2019 annual meeting.

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Artificial Intelligence | February 07, 2020
VIDEO: How GE Healthcare Orchestrates Artificial Intelligence

At RSNA19, GE Healthcare introduced its Edison Open AI Orchestrator. The software has been designed to operate smart algorithms that might save radiologists time. ITN Contributing Editor Greg Freiherr discusses its benefits with Karley Yoder, vice president and general manager of artificial intelligence for GE.

 

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GE Healthcare Unveils New Applications and Smart Devices Built on Edison Platform

VIDEO: itnTV Conversations — What is Edison?

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Artificial Intelligence | March 28, 2019
VIDEO: Artificial Intelligence - GE Builds AI Applications on Edison Platform

GE launched a new brand that covers artificial intelligence (AI) at the Radiological Socoety of North American (RSNA) 2018 meeting. The company showed several works-in-progress, including a critical care suite of algorithms and experimental applications for brain MR. Each is being built on GE's Edison Platform.

 

Related GE Edison Platform Content:

GE Healthcare Unveils New Applications and Smart Devices Built on Edison Platform

VIDEO: itnTV Conversations — What is Edison?

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Artificial Intelligence | March 13, 2019
VIDEO: How iCad Uses AI to Speed Breast Tomosynthesis

At RSNA 2018, iCad showed how its ProFound AI for digital breast tomosynthesis technology might help in the interpretation of tomosynthesis exams. Rodney Hawkins, vice president of marketing for iCad, discusses how this technology can better help detect the cancer.

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Artificial Intelligence 2018: What Radiologists Need to Know About AI

RSNA 2018 Sunday – Improving, Not Replacing

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Artificial Intelligence | February 01, 2019
VIDEO: How Imalogix Uses AI to Boost Performance

Artificial intelligence can do more than assist in the interpretation of patient images. At RSNA 2018, Imalogix showed how its unique AI application can help meet compliance requirements, directly improve patient safety and increase efficiencies.

 

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Technology Report: Artificial Intelligence 2018

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VIDEO: AI, Analytics and Informatics: The Future is Here

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Artificial Intelligence | January 15, 2019
Technology Report: Artificial Intelligence 2018
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Artificial Intelligence | May 25, 2018
VIDEO: How AI Will Benefit Change Healthcare Customers and Enterprise Imaging

Change Healthcare is looking at how to apply AI into enterprise imaging by using algorithms to change data into knowledge. For more information go to www.changehealthcare.com.

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Headlines around the world the past several months declared that...
An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019. Photo by Dave Fornell.

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May 12, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
 Recently the versatility of mixed and augmented reality products has come to the forefront of the news, with an Imperial led project at the Imperial College Healthcare NHS Trust. Doctors have been wearing the Microsoft Hololens headsets whilst working on the front lines of the COVID pandemic, to aid them in their care for their patients. IDTechEx have previously researched this market area in its report “Augmented, Mixed and Virtual Reality 2020-2030: Forecasts, Markets and Technologies”, which predicts th

Doctors wearing the Hololens Device. Source: Imperial.ac.uk

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NucleusHealth, a provider of cloud-based medical image management technology and teleradiology services, announced today that it has received Conformité Européene (CE) Mark approval for Nucleus.io.
News | May 21, 2020
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Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-

Figure 1: Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-CoV-2. The CNN model identified abnormal features in the right lower lobe (white color), whereas the two radiologists labeled this CT as negative. (b) A 52-year-old female who had a history of exposure to SARS-CoV-2 and presented with fever and productive cough. Bilateral peripheral ground-glass opacities (arrows) were labeled by the radiologists, and the CNN model predicted positivity based on features in matching areas. (c) A 72-year-old female with exposure history to the animal market in Wuhan presented with fever and productive cough. The segmented CT image shows ground-glass opacity in the anterior aspect of the right lung (arrow), whereas the CNN model labeled this CT as negative. (d) A 59-year-old female with cough and exposure history. The segmented CT image shows no evidence of pneumonia, and the CNN model also labeled this CT as negative.  

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