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Industry News

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; www.us.medical.canon) 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
Radcal
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
Control-X Medical
Image: The e-ASPECTS software uses AI algorithms to automatically identify and quantify acute ischemic core within seconds of the scan acquisition (Photo courtesy of Brainomix).

AI-Driven Software Uses CT Scans to Determine Extent of Brain Injury in Stroke Patients

A new study has shown that an artificial intelligence (AI) driven software can reliably tell doctors how much brain is injured in stroke patients using universally available CT scans, without the need for more complex advanced imaging. More...
05 Nov 2019
Image: An AI tool-radiologist combo can identify breast cancer with approximately 90% accuracy (Photo courtesy of MDN).

AI Tool Combined with Radiologists Identifies Breast Cancer with 90% Accuracy

An artificial intelligence (AI) tool trained by researchers on approximately one million screening mammography images has identified breast cancer with approximately 90% accuracy when combined with analysis by radiologists in a new study. Researchers from the NYU School of Medicine (New York City, NY, USA) and the NYU Center for Data Science examined the ability of a type of AI to add value to the diagnoses reached by a group of 14 radiologists as they reviewed 720 mammogram images. More...
04 Nov 2019


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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