Data analysis firm RadLogics has acquired rights to the lung cancer computer-aided detection (CAD) software and imaging platform developed by Matthew Brown, PhD, and colleagues at the University of California, Los Angeles (UCLA).
A 2014 study in European Radiology showed that the algorithm generated high accuracy, nearing 100%, with a corresponding low rate of false-positive detections for lung nodules 4 mm and larger and fewer than two false-positives per case.
The technology was originally geared toward lung cancer screening, but it has been refined to make it suitable for general chest CT scans and also to adhere to current lung cancer screening protocols, the company said.
The platform is now operational in a few clinical sites, including El Camino Hospital in Mountain View, CA, where it is used daily for chest CT studies, according to RadLogics.
![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)
