The U.S. Food and Drug Administration (FDA) has cleared Aidoc's expanded AI triage system BriefCase, with 11 new indications, according to the firm.
Powered by Aidoc's Clinical AI Reasoning Engine (CARE) Foundation Model, the system for abdomen CT triage enables facilities to identify time-sensitive critical cases earlier, the company said, adding that it brings a total of 14 indications together into a single workflow. With emergency department (ED) imaging typically read first-in, first-out, BriefCase is designed to relieve ED overcrowding and imaging backlogs.
The 11 newly cleared indications achieved a mean sensitivity of 97% (up to 98.5%) and a mean specificity of 98% (up to 99.7%), the company noted.
![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)
