Industry News

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

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

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

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

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

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

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
In Other News
AI-Driven Software Uses CT Scans to Determine Extent of Brain Injury in Stroke Patients
AI Tool Combined with Radiologists Identifies Breast Cancer with 90% Accuracy
AI System Uses Chest X-rays to Accurately Identify Collapsed Lungs
AI Algorithm Identifies Patients Who Can Benefit from Clot Removal Surgery
Imaging Societies Publish Statement on Use of AI in Radiology
AI System Detects Key Findings in Chest X-rays of Pneumonia Patients
Siemens Healthineers’ AI-Based Chest CT Software Receives US FDA Clearance
Agfa Showcases AI and DR Portfolio at JFR 2019
Researchers Use Machine Learning to Increase Resolution of OCT Imaging
New Mount Sinai BMEII Center to Focus on AI in Advanced Imaging
NIH Awards USD 1.6 Million Grant to Subtle Medical
RSNA Announces Intracranial Hemorrhage AI Challenge
Artificial Intelligence Accurately Predicts Radiation Treatment Side Effects
Agfa Demonstrates AI-Powered Intelligent DR Solutions at RSNA 2019
FUJIFILM SonoSite Collaborates with AI2 Incubator to Improve Image Analysis
GE Healthcare and Affibody Collaborate to Develop PET Imaging Tracers
AI Solution Supporting Wins Best New Radiology Solution Award
Researchers Develop New AI Technology for Heart Attack Prediction
Quality Processes Fueling Global Refurbished Imaging Equipment Market
Imaging Informatics Summit Highlights Impact of AI Technologies on Patient Care
Growing Inclination Towards Handheld Ultrasound Scanners for POC Diagnostics
DiA and Edan Instruments Collaborate to Offer AI-Based Cardiac Ultrasound Solutions
Machine-Learning Algorithm Diagnoses Cancer Early and Accurately
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