Lunit INSIGHT web page

Lunit, an AI-powered medical image analysis software company, is returning to RSNA 2017 in its second year with a new and advanced, cloud-based artificial intelligence solution for real-time image analysis一 Lunit INSIGHT. This will be the first live-demonstration of the software to the public at 2017 Radiology Society of North America Annual Meeting (RSNA), beginning November 26 through December 1 at booth #8164, North Hall, McCormick Place in Chicago.

Lunit is one of the top international medical AI companies, named in CB Insights “AI 100” startups list as one of the leaders transforming healthcare industry. Lunit has proven high-end technology, recognized at international competitions such as ImageNet (5th place, 2015), TUPAC 2016 (1st place), and Camelyon 2017 (1st place), surpassing top companies like Google, IBM, and Microsoft.

Top-notch medical AI technology at the tip of your fingers

Lunit’s AIs are trained by a huge collection of de-identified clinical data from Lunit’s partner hospitals, 18 in total number of partnerships. The total number of images that has been directly used in its research has reached over 1 million well-curated high-quality case images. With the given image data, the AI algorithms are then specifically trained to detect target diseases or radiologic findings, including lung cancer, tuberculosis, pneumonia, pneumothorax, and breast cancer for chest x-ray and mammograms.

Based on this top-notch AI technology, Lunit is to introduce <Lunit INSIGHT>, a cloud-based imaging AI platform. The platform delivers Lunit’s state-of-the-art AI models; the first one to be unveiled is the chest x-ray solution. Lunit’s chest x-ray solution detects major chest abnormalities, lung nodule/mass, consolidation, and pneumothorax, with an unprecedented high level of accuracy 一 97% standalone accuracy in nodule detection, 99% for consolidation and pneumothorax.

According to the National Lung Screening Trial (NLST), one of the largest clinical trials conducted on lung cancer screening, 26.5% of lung cancer cases were shown to be missed by chest x-ray. Worldwide, more than 1 billion chest x-ray exams are performed every year. Decreasing the proportion of missed cases even by 10% would translate into significant clinical benefit.

What’s foremost remarkable is how Lunit’s AI solutions have been proven to significantly increase the diagnostic performance of its users up to 20%, from non-radiology physicians to radiology experts. Lunit’s solutions are designed to augment the diagnostic performance level of its users as the “second reader,” not replace them.

“Lunit’s vision is to develop advanced software for medical data analysis and interpretation that goes beyond the level of human vision,” said Anthony S. Paek, CEO of Lunit. “In presenting Lunit INSIGHT, we hope to contribute in opening a new era of medical practice, by helping and empowering healthcare professionals to make more accurate, consistent, and efficient clinical decisions for the patients.”

Users can upload their medical images via online, at Lunit INSIGHT webpage. AI analysis results appear in just a few seconds, including not only the level of abnormality, but also the visualization of the AI’s attention map. Lunit’s solutions will also be presented integrated into the systems of various companies including Nuance, EnvoyAI, and Infinitt Healthcare.