News | Artificial Intelligence | April 02, 2019

Lunit Showcases AI Solution for Breast Cancer at SBI 2019

Lunit Insight for Mammography expected to get regulatory approvals beginning in July

Lunit Showcases AI Solution for Breast Cancer at SBI 2019

April 2, 2019 — Medical artificial intelligence (AI) startup Lunit announced its attendance at the Society of Breast Imaging (SBI) 2019 symposium, April 4-7 in Hollywood, Fla., where it will showcase its latest product for breast cancer detection, Lunit Insight for Mammography.

According to Lunit, the product is soon to be available for commercial sales, as the company is expecting to gain regulatory approvals in different regions. Lunit CEO Brandon Suh said Korea Ministry of Food and Drug Safety (MDFS) approval is expected as early as July 2019, followed by European CE approval by September 2019 and U.S. Food and Drug Administration (FDA) approval by early 2020.

Lunit Insight for Mammography was first revealed during the 2018 Radiological Society of North America annual meeting (RSNA 2018), presenting a 97 percent level of accuracy in the detection of breast cancer. Suh noted that false negative rates for mammography range from 10-30 percent, with false positive rates at around 95 percent. According to Suh, this costs more than $4 billion dollars for unnecessary recalls in the U.S. alone. He said that Lunit aims to reduce these costs by pulling more accurate information from accessible basic tests like mammography and use this clinically accurate information to increase efficiency in diagnostics.

Lunit is also developing what it calls a more sophisticated AI solution for digital breast tomosynthesis (DBT). DBT has been demonstrated by various large-scale studies to be superior to mammography in terms of breast cancer screening performance.

For more information: www.lunit.io

Related Content

Largest case series (n=30) to date yields high frequency (77%) of negative chest CT findings among pediatric patients (10 months-18 years) with COVID-19, while also suggesting common findings in subset of children with positive CT findings

A and B, Unenhanced chest CT scans show minimal GGOs (right lower and left upper lobes) (arrows) and no consolidation. Only two lobes were affected, and CT findings were assigned CT severity score of 2. Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 29, 2020
May 29, 2020 — An investigation published open-access in the ...
AI has the potential to help radiologists improve the efficiency and effectiveness of breast cancer imaging

Getty Images

Feature | Breast Imaging | May 28, 2020 | By January Lopez, M.D.
Headlines around the world the past several months declared that...
United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI) with the world’s first ultra-wide 75-cm bore 3T MRI.
News | Magnetic Resonance Imaging (MRI) | May 27, 2020
May 27, 2020 — United Imaging's...
There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North America (RSNA) annual meeting. These trends included integration of artificial intelligence (AI) auto detection technologies, more durable glassless detector plates, and technologies to pull more diagnostic data out of X-ray imaging. Some vendors also have redesigned their DR systems to make them more user-friendly and ergonomic. 
Feature | Digital Radiography (DR) | May 26, 2020 | By Dave Fornell
There were several new developments in digital rad...
An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019. Photo by Dave Fornell.

News | Ultrasound Imaging | May 26, 2020
May 12, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a governm
a Schematic of the system. The entire solid tumour is illuminated from four sides by a four-arm fibre bundle. A cylindrically focused linear array is designed to detect optoacoustic signals from the tumour. In vivo imaging is performed in conical scanning geometry by controlling the rotation and translation stages. The sensing part of the transducer array and the tumour are submerged in water to provide acoustic coupling. b Maximum intensity projections of the optoacoustic reconstruction of a phantom of pol

a Schematic of the system. The entire solid tumour is illuminated from four sides by a four-arm fibre bundle. A cylindrically focused linear array is designed to detect optoacoustic signals from the tumour. In vivo imaging is performed in conical scanning geometry by controlling the rotation and translation stages. The sensing part of the transducer array and the tumour are submerged in water to provide acoustic coupling. b Maximum intensity projections of the optoacoustic reconstruction of a phantom of polyethylene microspheres (diameter, 20 μm) dispersed in agar. The inset shows a zoomed-in view of the region boxed with a yellow dashed line. In addition, the yellow boxes are signal profiles along the xy and z axes across the microsphere centre, as well as the corresponding full width at half-maximum values. c Normalized absorption spectra of Hb, HbO2 and gold nanoparticles (AuNPs). The spectrum for the AuNPs was obtained using a USB4000 spectrometer (Ocean Optics, Dunedin, FL, USA), while the spectra for Hb and HbO2 were taken from http://omlc.org/spectra/haemoglobin/index.html. The vertical dashed lines indicate the five wavelengths used to stimulate the three absorbers: 710, 750, 780, 810 and 850 nm. Optoacoustic signals were filtered into a low-frequency band (red) and high-frequency band (green), which were used to reconstruct separate images.

News | Breast Imaging | May 26, 2020
May 26, 2020 — Breast cancer is the most common cancer in women.
 Recently the versatility of mixed and augmented reality products has come to the forefront of the news, with an Imperial led project at the Imperial College Healthcare NHS Trust. Doctors have been wearing the Microsoft Hololens headsets whilst working on the front lines of the COVID pandemic, to aid them in their care for their patients. IDTechEx have previously researched this market area in its report “Augmented, Mixed and Virtual Reality 2020-2030: Forecasts, Markets and Technologies”, which predicts th

Doctors wearing the Hololens Device. Source: Imperial.ac.uk

News | Artificial Intelligence | May 22, 2020
May 22, 2020 — Recently the versatility of
Phone call and linkage-to-care-based intervention increases mammography uptake among primary care patients at an urban safety-net hospital

Getty Images

News | Mammography | May 22, 2020
May 22, 2020 — Telephone outreach coupled with scheduling assistance significantly increased...