Median Technologies has released trial results showing that its artificial intelligence (AI) algorithm performed well in characterizing malignant and benign lung nodules in patients receiving low-dose chest CT lung cancer screening.
The company's new iBiopsy computer-aided diagnosis (CADx) algorithm was trained on a dataset from 1,224 patients with 11,392 nodules from the National Lung Screening Trial and then tested on CT images from 472 patients with 4,216 nodules. The application yielded 95.2% sensitivity and 95.7% specificity for lung nodule characterization, as well as an area under the curve of 0.991, Median said.
The company is planning an additional large-scale study for an end-to-end digital lung cancer screening application that will provide both nodule detection and characterization. Results are expected in the fourth quarter.
![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)
