RadLogics News
10 articles
growth-positive
RADLogics Announces New Advancements and Research in AI-Powered COVID-19 Medical Imaging Solutions
RADLogics has announced the availability of the latest version of its AI-Powered COVID-19 CT algorithm. The update delivers a deep learning system that can detect, localize, and segment regions in the lungs infected with COVID-19. The algorithm can perform three different analyses on raw chest CT image scans. The overall system produces a decision on whether the case is suspected for COVID-19 with a confidence level. RADLogics AI-Powered solutions aim to alleviate the burden associated with COVID-19 and support improved outcomes. The company has made its FDA cleared CT and X-ray solutions available to hospitals and healthcare systems throughout the U.S. RADLogics will be featured in the RSNA 2020 Imaging AI in Practice demonstration and the Nuance virtual booth. The company is focused on using AI and machine learning image analysis to improve radiologists productivity and patient outcomes.
Customers
growth-positive
RADLogics Announces FDA Clearance and Validation for AI-Powered Application to Support Chest X-ray Triage and Prioritization
RADLogics has received FDA 510(k) clearance for its AI-Powered chest X-ray pneumothorax application. The clearance allows healthcare providers to access AI software that can flag scans with a suspected pneumothorax for urgent radiologist review. The application is available through the Nuance AI Marketplace for Diagnostic Imaging. RADLogics chest X-ray solution uses an AI algorithm to analyze images for features suggestive of pneumothorax and provides case-level output for worklist prioritization or triage. The application has been validated and trained by a multi-center study. RADLogics aims to improve efficiency and reduce burnout for radiologists. The company has also made its FDA cleared X-ray and CT solutions available to hospitals and healthcare systems for patient triage and management during the COVID-19 pandemic.
Customers
growth-positive
RADLogics Expands Deployment of its AI-Powered Solution to Support Chest Imaging for COVID-19 Patients
RADLogics has announced new worldwide deployments and installations of its AI-Powered solution to support chest CT imaging for COVID-19 patients. The company has deployed its solution at hospitals and healthcare providers in China, Russia, Italy, Serbia, and Brazil, and has engaged additional hospital systems and providers globally. The solution provides doctors with a Corona Score that measures the disease extent of COVID-19 patients, improving patient care and treatment management. RADLogics algorithms are supported by its patented workflow software platform and can process up to 1 million CT studies per day. The company has distribution partners in China and Russia. The article mentions partnerships with BinomixRay in Russia and ChainZ in China. The event described in the article occurred on April 21, 2020.
CustomersPartners
growth-positive
RADLogics announces agreement to distribute AI algorithms on Nuance AI Marketplace
RADLogics has announced a major global distribution agreement with Nuance, the leading provider of AI-powered radiology workflow solutions. Through the agreement, RADLogics will make its FDA approved clinical support algorithms available to users at scale through the Nuance AI Marketplace. The partnership aims to improve productivity and quality for radiologists by providing access to advanced imaging analysis solutions. RADLogics Virtual-Resident software, integrated with the Nuance AI Marketplace and PowerScribe reporting platform, will allow radiologists to handle more images per study and more studies per day, while improving the quality of care. The agreement is expected to have a positive impact on RADLogics growth.
Partners
growth-positive
RADLogics Showcases Virtual-Resident™ - Image Analysis Clinical Decision Support Solution for Radiologists-Achieving Up to 44% Improvement in Radiologists Productivity
RADLogics Virtual-Resident Clinical Decision Support Solution has achieved up to a 44% increase in radiologists productivity, according to a study conducted by UCLA. The study evaluated the effect of RADLogics Virtual Resident software, which integrates machine-learning image analysis algorithms into the PACS system to automatically generate standardized radiology reports. The results showed that using the software decreased the time taken by radiologists to evaluate a chest CT and create a final report by up to 44%. The study also found that the software provided consistent measurements and included additional valuable information in the reports. RADLogics cloud-based Virtual-Resident solution improves interpretation consistency among radiologists and enhances the quality of healthcare provided.
PartnersCustomers
growth-positive
RADLogics Acquired by Asia-based Funds
Asia-based funds East Ocean Ventures and Tianjin Dazhen Asset Management have acquired a 100% stake in RADLogics for an undisclosed amount. The acquisition aims to accelerate research and development of RADLogics clinical workflow enhancement platform and expand its presence in major markets in Asia.
Acquisition
growth-positive
RADLogics Showcases at RSNA 2017 its Virtual-Resident™-Machine Learning Image Analysis Software-Fully Integrated with Nuance PowerShare and PowerScribe360
RADLogics is demonstrating its Virtual-Resident software, a clinical decision support solution for radiologists, at RSNA 2017. The software is fully integrated with Nuances PowerShare image exchange platform and PowerScribe 360 reporting system. It provides the computational equivalent of a medical resident, preparing preliminary findings for radiologists in a fraction of the time. The solution enables radiologists to handle more images per study and more studies per day while improving the quality of care. RADLogics uses machine learning image analysis and big data analytics to search and analyze imaging data associated with CTs, MRIs, and X-rays. The companys mission is to help radiologists provide higher value reports to better serve referring physicians and patients.
Partners
growth-positive
RADLogics to Showcase at RSNA 2017 First-of-a-kind Clinical Study Results of its Virtual-Resident™ - Machine Learning Image Analysis Clinical Decision Support Solution
A recent study from UCLA found that RADLogics Virtual Resident software integrated with PACS can save radiologists up to 47% of the time required to generate a final report. The study also showed that the software can provide additional relevant information for an improved report without additional time cost. RADLogics will demonstrate its Virtual Resident software at RSNA 2017. The cloud-based solution uses machine learning image analysis to search and analyze imaging data, improving speed, accuracy, and consistency in interpreting studies. RADLogics mission is to provide clinical decision support solutions for radiologists.
CustomersPartners
growth-positive
RADLogics to Showcase at RSNA 2017 its Virtual-Resident™-Machine Learning Image Analysis Software-Fully Integrated with Agfa HealthCare Enterprise Imaging Solution
RADLogics Virtual-Resident, a clinical decision support solution for radiologists, is fully integrated with Agfa Healthcares Enterprise Imaging solution. The integration promises to improve radiologists productivity and the value of reports by providing consistent quantitative information. The solution reduces turn-around-times for critical studies and offers advanced analytics, workflow automation, visual collaboration, and reports. The cloud-based Virtual-Resident uses machine learning image analysis and big data analytics to search and analyze imaging data. It provides objective measurements and characterization of findings, improving consistency in comparing studies over time. RADLogics is a leading provider of machine learning image analysis clinical support solutions for radiologists. The companys technology processes large amounts of imaging data in seconds and delivers preliminary reports for review by radiologists.
Partners
growth-positive
RADLogics Showcases "Virtual Resident" Imaging Analysis Platform at RSNA 2015
RADLogics, a medical imaging company, will showcase its machine-learning image analysis solution called AlphaPoint at the Radiological Society of North Americas annual meeting. AlphaPoint is a cloud-based platform that provides fast and accurate detection and characterization of findings in medical imaging data. The technology integrates with popular reporting systems and is featured in the RSNA Centennial Showcase on the future of radiology. RADLogics will also demonstrate its lung cancer screening app, which is part of the companys Chest CT Scan Module. The app allows for the detection and characterization of lung nodules in compliance with industry protocols. RADLogics was named Aunt Minnies Best New Radiology Vendor for 2015.
Customers
