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.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
