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

Download Mobile App





Lunit Unveils AI-Based Mammography Solution at RSNA 2018

By MedImaging International staff writers
Posted on 26 Nov 2018
Print article
Image: The Lunit INSIGHT for Mammography is expected to increase the cancer detection rate of radiologists by 10% when used as a second reader (Photo courtesy of Lunit).
Image: The Lunit INSIGHT for Mammography is expected to increase the cancer detection rate of radiologists by 10% when used as a second reader (Photo courtesy of Lunit).
Lunit (Seoul, South Korea), a medical artificial intelligence (AI) software company, showcased its newest AI solution for breast cancer—Lunit INSIGHT for Mammography— at this year's gathering of Radiological Society North America (RSNA), which was held on November 25-30 at McCormick Place in Chicago, Ill., USA.

Lunit, abbreviated from "learning unit," is focused on developing advanced medical image analytics and data-driven imaging biomarkers via cutting-edge deep learning technology. The company’s mission is to empower physicians with clinically actionable insights that foster accurate and cost-efficient diagnosis and treatment through unprecedented AI-powered imaging biomarkers with cutting-edge, world-leading accuracy.

Lunit's newest AI software, Lunit INSIGHT for Mammography delivers an accuracy of 97% in detecting malignant lesions, which is expected to increase the cancer detection rate of radiologists by 10% when used as a second reader. The company also claims that its AI solution can enable general radiologists to perform at a specialist level, providing solutions to health facilities that experience strains with lack of specialists. It also aims to decrease recall rate and as a result, save medical costs that are being wasted every year.

At RSNA 2018, the company also showcased Lunit INSIGHT for Chest Radiography, which has been tested in more than 1.5 million cases from more than 70 countries since being launched during last year's RSNA. With an accuracy level of 97-99%, it detects major chest abnormalities including nodules, consolidation, pneumothorax, etc. The CAD-based solution is also being integrated into the worklist for prioritization, in which positive cases may be read first in order to decrease turnaround time and increase overall reading productivity.

Lunit's proprietary AI technology has been trained with vast quality medical data to ensure high accuracy levels. The company’s AI has been trained with over 200,000 chest X-ray cases and 200,000 mammogram cases, out of which 50,000 cases were biopsy-proven malignant cases.

Lunit also presented six abstracts during RSNA 2018, consisting mainly of its latest findings and studies based on its AI technology in medical imaging such as mammography and chest radiography. Lunit’s new CEO Brandon Suh was on stage at Machine Learning Theater to give a presentation titled, “From AI-powered Diagnostic Support Tools to Imaging Biomarkers: Aiming Beyond Human-Level Accuracy,” which provided an overview of the company’s recent achievements and future developments.

Related Links:
Lunit

Print article
Radcal
CIRS -  MIRION

Channels

Radiography

view channel
Image: Spinal fractures in the elderly are preventable with simple X-rays (Photo courtesy of Pexels)

Simple X-Ray Method Can Diagnose Vertebral Compression and Prevent Spinal Fractures

Vertebral compression means that the spine is compressed, causing a fracture in one of the vertebrae. Vertebral compression fractures (VCFs) occur easily in people with osteoporosis and are very common... Read more

Imaging IT

view channel
Illustration

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
Image: RSNA`s annual meeting is the world`s largest medical imaging conference (Photo courtesy of RSNA)

RSNA 2022 Sees Rise in Abstract Submissions Ahead of Annual Meeting

The Radiological Society of North America (RSNA, Oak Brook, IL, USA) has announced that nearly 10,400 scientific and educational abstracts have been submitted for the Society's 108th Scientific Assembly... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.