Industry News
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
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
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
AI System Uses Chest X-rays to Accurately Identify Collapsed Lungs
Researchers at the University of Waterloo (Waterloo, Canada) have developed a new assistive technology that can diagnose collapsed lungs, or pneumothorax, from chest X-rays with a higher degree of accuracy than radiologists. The system uses artificial intelligence (AI) software to search a huge database of X-ray images with known diagnoses for comparison to X-rays of new patients with unknown conditions. This approach enables the researchers to identify 75% of cases of collapsed lungs, as compared to medical specialists who diagnose less than 50% of cases using chest X-rays. More...04 Nov 2019
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In Other News
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
Fujifilm SonoSite to Develop AI-Powered Ultrasound Solutions
New Machine Learning System Aids Pathologists in Cancer Diagnoses
GE Healthcare Partners with Fujitsu to Develop AI for Spotting Brain Aneurysms
MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.