Artificial intelligence (AI) software developer Lunit plans to introduce new applications for digital breast tomosynthesis (DBT) and chest CT at the upcoming RSNA 2021 annual meeting in Chicago.
Lunit Insight DBT was designed to accelerate reading by identifying 3D slice images with suspicious breast lesions from among multiple images. Its new CT software is called Lunit Insight Chest CT, which automatically generates the location, type, volume, and axial diameter of detected nodules.
Lunit is launching its Lunit Insight DBT software at RSNA 2021. Image courtesy of Lunit.Lunit will offer demonstrations of Insight DBT and Lunit Insight Chest CT at the company's booth during the meeting, with an official launch planned next year, the company said.
The company's mature radiology products, Lunit Insight CXR and Lunit Insight MMG, are now being used clinically in more than 30 countries, the company added.
![Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m3 for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m3 for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
