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AI Tool Performs as Good as Experienced Radiologists in Interpreting Chest X-rays

 A team of researchers from Google Health (Palo Alto, CA, USA) have developed a sophisticated type of artificial intelligence (AI) that can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists. Their findings, based on a type of AI called deep learning, could provide a valuable resource for the future development of AI chest radiography models. More...
23 Dec 2019
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LANDAUER and RaySafe Exhibit New Products and Services at RSNA 2019

 LANDAUER (Glenwood, IL, USA) and RaySafe (Billdal, Sweden) showcased several new products and services at the Radiological Society of North America (RSNA) 2019 Annual Meeting held on December 1-5 at McCormick Place in Chicago, USA. More...
25 Nov 2019
Image: The global automated breast ultrasound systems (ABUS) market is being driven by increasing government expenditure and rising awareness about breast cancer (Photo courtesy of Philips Healthcare).

Global Automated Breast Ultrasound Systems Market to Surpass USD 1.8 Billion by 2025

The global automated breast ultrasound systems (ABUS) market was valued at over USD 0.68 billion in 2018 and is projected to grow at a CAGR 16.1% during the forecast period, 2019-2025 to surpass USD 1.8 billion by 2025, driven by increasing government expenditure and rising awareness about breast cancer. Initiatives such as free check-up camps and symposiums for raising awareness regarding early detection and diagnosis of breast cancer will lead to greater adoption of ABUS in the coming years. However, stringent regulations and guidelines for the approval of ABUS, coupled with the high cost of diagnostic procedure, could hamper the market growth during the forecast period. More...
07 Nov 2019
Image: The AiCE technology is intended to enable clinicians to perform super-high resolution studies on the Aquilion Precision CT system (Photo courtesy of Canon Medical Systems).

CT System Receives FDA Clearance for AI-Based Image Reconstruction Technology

Canon Medical Systems USA, Inc. (Tustin, CA, USA) has received 510(k) clearance for its Advanced Intelligent Clear-IQ Engine (AiCE) for the Aquilion Precision, further expanding access to its new deep convolutional neural network (DCNN) image reconstruction technology. The technology, which is now available on Canon’s Aquilion Precision and Aquilion ONE/GENESIS Edition CT systems, uses a deep learning algorithm to differentiate signal from noise so that it can suppress noise while enhancing signal, thus improving CT image reconstruction. More...
07 Nov 2019
Image: The SubtleMR software is designed to deliver a significant improvement in the quality of noisy images (Photo courtesy of Subtle Medical).

AI-Powered MRI Image Enhancement Software Receives FDA Clearance

A new image processing software that utilizes proprietary deep learning algorithms to bring the latest imaging enhancement technology to existing scanners has received 510(k) clearance from the US Food and Drug Administration (FDA). The software named SubtleMR uses denoising and resolution enhancement to improve image quality and has been developed by Subtle Medical (Menlo Park, CA, USA; www.subtlemedical.com), a healthcare technology company focused on improving the quality, efficiency, and accessibility of medical imaging. More...
07 Nov 2019
Image: The Center for Intelligent Imaging is designed to, “develop and apply AI to devise powerful new ways to look inside the body and to evaluate health and disease,” (Photo courtesy of UCSF).

UCSF Launches Artificial Intelligence Center to Advance Medical Imaging

The University of California San Francisco {(UCSF) San Francisco, CA, USA; www.ucsf.edu} has announced the launch of a new center to accelerate the application of artificial intelligence (AI) technology to radiology, leveraging advanced computational techniques and industry collaborations to improve patient diagnoses and care. The Center for Intelligent Imaging, or ci2, will develop and apply AI to devise powerful new ways to look inside the body and to evaluate health and disease. The center aims to enable transformation via intelligent radiology, with the goal of again collaborating with the industry to become of the first institutions to bring medical imaging AI to the bedside. More...
06 Nov 2019
Image: AutocathFFR, a fully automated system, is designed to detect stenoses (narrowing) in the coronary arteries surrounding the heart (Photo courtesy of MedHub).

AI-Powered Diagnostics Software Guides Cardiologists During Angiography

Researchers are in the initial stages of a pivotal multi-center clinical trial to demonstrate the efficacy of AutocathFFR, a fully automated system that detects stenoses (narrowing) in the coronary arteries surrounding the heart. AutocathFFR provides cardiologists with the relevant physiological parameters that can help them in assessing the severity of their patients' condition and devise the optimal treatment strategy. More...
06 Nov 2019
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Acuity G4


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