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Image: The American College of Radiology and the Medical Image Computing and Computer Assisted Intervention Society are working together to develop artificial intelligence algorithms to better meet the clinical needs of radiologists (Photo courtesy of Getty Images).

ACR and MICCAI to Develop AI Algorithms for Clinical Radiology

The American College of Radiology and the Medical Image Computing and Computer Assisted Intervention Society are working together to develop artificial intelligence (AI) algorithms to better meet the clinical needs of radiologists. The ACR is actively creating use cases for imaging AI and will work with MICCAI to leverage this knowledge base in MICCAI’s imaging AI competitions. The ACR Data Science Institute (ACR DSI) is actively working on technically-oriented use cases (TOUCH-AI) which will help algorithm vendors identify and target areas that have the greatest clinical impact, as well as strategies to ensure appropriate validation pre-deployment (CERTIFY-AI) and ongoing monitoring while in the clinical setting (ASSESS-AI). More...
21 May 2018
Image: Researchers plan to create a brain-machine interface using an ultrasound helmet and an EEG (Photo courtesy of Vanderbilt University).

Ultrasound Helmet Designed for Live Images and Brain-Machine Interface

A team of researchers from Vanderbilt University plan to create a brain-machine interface using an ultrasound helmet and electroencephalogram (EEG) that would allow doctors to view images as clear as those of the heart or womb. By using ultrasound technology for the brain, doctors could not only view real-time images during surgery, but also gain a better understanding of which areas become stimulated by certain feelings or actions. The ultrasound helmet would ultimately provide an effective way for people to control software and robotics by thinking about it. More...
21 May 2018
Radcal
Image: The new AI-powered technology can accurately identify bleeds, fractures and other critical abnormalities in head CT scans and generate reports (Photo courtesy of Qure.ai).

AI-Powered Technology Identifies Abnormalities in CT Scans

A new artificial intelligence (AI)-powered technology can accurately identify bleeds, fractures and other critical abnormalities in head CT scans, and can automatically generate abnormality reports. These automated reports are a first-to-market capability in the AI and radiology category, helping radiologists and hospitals prioritize care, make smarter and faster diagnoses and reduce costs. More...
30 Apr 2018
Image: The uAI Smart Reviewer is designed to highlight suspected lesions, providing doctors with greater confidence in decision-making and higher efficiency (Photo courtesy of United Imaging Healthcare).

uAI Platform Brings Future of Intelligent Medicine Closer

United Imaging Healthcare (UIH) has unveiled its new uAI platform, besides introducing three intelligent advanced medical equipment and 10 intelligent diagnostic applications. More...
26 Apr 2018
Image: The global CT scanner market is expected to surpass USD 7 billion by 2024, driven by the increasing prevalence of chronic diseases, such as CV diseases and cancer, along with the rising demand for minimally invasive diagnostic tools (Photo courtesy of Toshiba Medical Systems).

Global CT Scanners Market to Surpass USD 7 Billion by 2024

The global computed tomography (CT) scanners market was valued at over USD 4.7 billion in 2016 and is expected to register a CAGR of more than 5% from 2017 to 2024 to surpass USD 7 billion by 2024. The CT scanners market is expected to be driven by the increasing prevalence of chronic diseases, such as cardiovascular diseases and cancer, along with the rising demand for minimally invasive diagnostic tools. More...
25 Apr 2018
Image: The FCT SPEEDIA series is designed for multiple routine examinations (Photo courtesy of Fujifilm Medical Systems).

Fujifilm Showcases Extended Product Line at ECR 2018

Fujifilm Medical Systems Europe, a provider of diagnostic imaging products and medical informatics solutions, showcased its broad, enhanced line up of products and solutions at the European Congress of Radiology (ECR) 2018. The products and solutions showcased by Fujifilm at ECR 2018 focused on women’s health, healthcare IT, artificial intelligence (AI), digital radiography (DR), computed tomography (CT), computed radiography and ultrasound. More...
24 Apr 2018
Image: The IDx-DR system is designed to analyze images of the eye taken with a retinal camera and detect diabetic retinopathy (Photo courtesy of IDx).

AI Device for Diabetic Retinopathy Receives FDA Approval

The first-ever medical device to use artificial intelligence (AI) for detecting diabetic retinopathy has received marketing approval from the US Food and Drug Administration (FDA). The AI-based diagnostic system named IDx-DR, which has been developed by privately-held AI diagnostics company IDx, is the first device to be authorized for marketing that provides a screening decision without the need for a clinician to also interpret the image or results. This means that the device can also be used by health care providers who may not normally be involved in eye care. More...
24 Apr 2018

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MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.

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