News | Artificial Intelligence | September 23, 2020

510(k) clearance for novel AI-Powered chest X-ray application developed to identify and prioritize chest X-ray scans that appear to contain a pneumothorax for urgent radiologist review

RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.

RADLogics AI-Powered solution in use: chest X-ray of COVID-19 positive case with heatmap key image.


September 23, 2020 — RADLogics announced that the company’s novel AI-powered chest X-ray pneumothorax application has received 510(k) clearance from the U.S. Food and Drug Administration (FDA). The clearance paves the way for healthcare providers, hospital networks and clinicians to have access to artificial intelligence (AI) software that is trained via pattern recognition to process chest X-rays and immediately flag scans with a suspected pneumothorax, a collapsed lung, for urgent radiologist review. The application is available immediately through the Nuance AI Marketplace for Diagnostic Imaging.

Operating in parallel with existing workflow, RADLogics’ chest X-ray solution uses an artificial intelligence algorithm to analyze images for features suggestive of pneumothorax. It then makes case-level output available to a PACS workstation for worklist prioritization or triage. The AI-powered solution integrates into a comprehensive, seamless, and secure workflow to augment acute care teams with deep clinical insight and actionable data in minutes. The application was validated and trained by a multi-center study for detecting pneumothorax in hundreds of chest X-rays.

"We are very pleased to receive FDA 510(k) clearance for our AI-Powered chest X-ray pneumothorax application, which adds to our array of AI-Powered solutions for CT and X-ray that are designed to improve efficiency and reduce burnout for radiologists that are under greater pressure than ever before,” said Moshe Becker, CEO and Co-Founder of RADLogics. "From extreme pressure on capacity and resources to a major financial strain due to the ongoing COVID-19 pandemic, there is no question that the healthcare system is in need for new solutions such as AI to augment caregivers to alleviate the increased burden and support better outcomes.”

In accordance with FDA guidance for imaging systems and software to address the COVID-19 public health emergency, RADLogics has made its FDA cleared X-ray and CT solutions available to hospitals and healthcare systems throughout the U.S. for patient triage and management. Designed for easy integration and installation both on-premise and via the cloud – RADLogics’ algorithms are supported by the company’s patented workflow software platform that enables rapid deployment at multiple hospitals, and seamless integration with existing workflows.

To further validate the use of chest X-ray solutions, the company highlighted a new paper in preprint entitled “COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring”. Led by Professor Hayit Greenspan from Tel Aviv University and members of the RADLogics’ algorithm development team, the paper studied the severity of pneumonia in COVID-19 patients through a longitudinal study of disease progression. Using a deep learning model for simultaneous detection and segmentation of pneumonia in chest X-ray (CXR) images and generalized to COVID-19 pneumonia, the study found that the measurement of disease severity through a “Pneumonia Ratio” that enabled the research team to build a disease extend profile over time for hospitalized patients.

Results of this study are available on arXiv.org, and it has been submitted to the JBHI IEEE journal for review and potential publication.


Related Content

News | Digital Radiography (DR)

March 20, 2023 — A study by Emory Healthcare reports that Konica Minolta Healthcare’s Dynamic Digital Radiography (DDR) ...

Time March 20, 2023
arrow
News | X-Ray

March 20, 2023 — Researchers from UNSW Sydney have developed an algorithm which produces high-resolution modeled images ...

Time March 20, 2023
arrow
News | Artificial Intelligence

March 17, 2023 — A new paper published in the Journal of Medical Internet Research describes how generative models such ...

Time March 17, 2023
arrow
News | Radiopharmaceuticals and Tracers

March 16, 2023 — A supply problem with Pluvicto [177Lu-vipivotide tetraxetan; Novartis], the radiopharmaceutical used to ...

Time March 16, 2023
arrow
Feature | Magnetic Resonance Imaging (MRI) | By Brad Sutton

March 16, 2023, marks 50 years since Paul Lauterbur published his seminal Nature paper establishing zeugmatography — now ...

Time March 16, 2023
arrow
Feature | HIMSS | By Melinda Taschetta-Millane

The theme of The Healthcare Information and Management Systems Society (HIMSS23) is Health That Connects + Tech That ...

Time March 14, 2023
arrow
News | Coronavirus (COVID-19)

March 13, 2023 — The American College of Radiology (ACR) and the American College of Emergency Physicians (ACEP) ...

Time March 13, 2023
arrow
Videos | Enterprise Imaging

Philips Radiology Operations Command Center (ROCC) is a vendor-neutral, multi-modality, multi-site telepresence tool ...

Time March 13, 2023
arrow
News | Artificial Intelligence

March 10, 2023 — Computed tomography (CT) is one of the most powerful and well-established diagnostic tools available to ...

Time March 10, 2023
arrow
News | Digital Radiography (DR)

March 9, 2023 — Konica Minolta Healthcare Americas, Inc., congratulates the University of Alabama at Birmingham (UAB) ...

Time March 09, 2023
arrow
Subscribe Now