Lunit Unveils 7 Research Abstracts on Imaging AI Analysis Solutions at the American Roentgen Ray Society Meeting

Medical AI company Lunit announced on the 6th that it will participate in the '2023 Radiological Society of North America (RSNA 2023)' held in Chicago, USA, from the 26th to the 30th (local time), unveiling seven research abstracts on AI solutions for chest and breast imaging analysis.

Lunit's chest X-ray AI imaging analysis solution 'Lunit Insight CXR' (left) and mammography AI imaging analysis solution 'Lunit Insight MMG'. [Photo by Lunit]

Since 2016, Lunit has participated annually in RSNA, the world's largest radiology conference, showcasing AI-based image recognition technology and its achievements.

At RSNA 2023, Lunit will present oral presentations on research results using two AI algorithms to prevent missed abnormalities in chest X-ray readings. Simultaneously, it will reveal poster presentations on research analyzing the accuracy of breast cancer risk prediction and longitudinal breast follow-up using AI.

Additionally, studies utilizing Lunit Insight will be presented, including ▲ a multi-participant study validating AI analysis technology for mammography images ▲ a preliminary interim analysis of the effectiveness of AI-assisted breast cancer screening in mammography ▲ a comparative study on the effectiveness of AI and ultrasound screening for women with dense breasts at high risk of breast cancer ▲ breast density assessment through mammography: comparative analysis among radiologists, AI, and automated volumetric measurement methods ▲ and research on the characteristics of invasive breast cancers missed by AI in mammography.

At its exhibition booth during the conference, Lunit will set up a simulated reading room, providing participants with the opportunity to directly experience the AI imaging analysis solution 'Lunit Insight.' Through this, Lunit plans to demonstrate how its solution can improve medical professionals' workflow, enhance patient care experience, and increase reading efficiency.

Seobum Seok, CEO of Lunit, stated, "Lunit Insight, our AI solution for cancer diagnosis, is highly trusted by major tertiary hospitals domestically and internationally, as well as specialized imaging centers in various medical environments. We will contribute to enhancing the technical completeness of AI software for lung and breast cancer diagnosis through continuous product advancement."

Meanwhile, RSNA, which began in 1915 and is now in its 109th year, is the world's largest radiology academic conference and medical device exhibition held annually in Chicago, USA. Over 50,000 academic and industry experts attend each year to share the latest research findings and industry trends.