We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Agfa Radiology

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
24 Jan 2022 - 27 Jan 2022

Chest X-ray Triage Solution Sorts Emergency Cases

By MedImaging International staff writers
Posted on 29 Nov 2021
Print article
Image: Demo image of the Lunit Insight CXR Triage solution (photo courtesy of Lunit)
Image: Demo image of the Lunit Insight CXR Triage solution (photo courtesy of Lunit)
An artificial intelligence (AI)-powered chest x-ray (CXR) triaging solution helps prioritize emergency cases.

The Lunit (Seoul, South Korea) Insight CXR Triage is an AI-assisted notification software that analyzes CXR images and screens for pre-specified suspected critical findings, thereby reducing time-to-diagnosis of urgent cases. The algorithm performs at 94-96% sensitivity, 95-99% specificity, and 97-99% accuracy rates, reliably detecting lung nodules, calcifications, consolidation, fibrosis, pneumothorax, pneumoperitoneum, cardiomegaly, pleural effusion, mediastinal widening, atelectasis, and tuberculosis.

CXR Triage generates the location information of detected lesions in in the form of heatmaps and/or contour maps, with an abnormality score reflecting the AI’s calculation of the actual presence of the detected lesion, and also provides a case report summarizing the overall analysis result, narrowed down to each finding. The prioritized cases, according to the abnormality scores, reduce subsequent reading time by 65% for normal cases and 25% for abnormal cases.

“Lunit INSIGHT CXR was designed to assist doctors with faster and more accurate diagnosis,” said Brandon Suh, CEO of Lunit. "We strongly believe that sooner or later AI will become the new standard of care, and AI will be used everywhere as a must-use product. Not only will it be used as a tool to make the workflow more efficient, but it will ensure better diagnosis and healthier life for patients.”

CXR is the main modality used for screening and diagnosis of thoracic injuries in trauma patients, used to visualize rib fractures, lung contusions, pneumothorax and hemothorax, emphysema, diaphragmatic and aortic injury, and fractures of the axial skeleton. In common practice, a CXR taken in the emergency department is assessed by the trauma team.

Related Links:

Print article


General/Advanced Imaging

view channel

Machine Learning Combined with PET/CT Can Predict Heart Attack Risk

By combining information from two advanced imaging techniques with clinical data, physicians can improve their prediction of heart attacks, according to new research. When assessed together in an artificial... Read more

Imaging IT

view channel

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

Industry News

view channel

Mobile C-Arms Market to Surpass USD 1.6 Billion in 2027 Due to Growing Preference for Minimally Invasive Surgeries

The global mobile C-arms market is expected to grow at a CAGR of 5.2% from USD 1.07 billion in 2019 to USD 1.61 billion in 2027, driven primarily by an increase in the global geriatric population, rising... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.