Artificial intelligence (AI) software developer Zebra Medical Vision has received U.S. Food and Drug Administration (FDA) 510(k) clearance for an AI algorithm that can detect and classify intracranial hemorrhage on head CT scans.
Zebra's HealthICH AI algorithm consists of a neural network architecture designed to distinguish intracranial hemorrhage from small brain bleeds and image artifacts on brain CT scans. The algorithm can use this information to prioritize acute cases requiring emergency care and then alert clinicians of positive cases by sending them to the top of the worklist.
The AI algorithm's ability to detect and classify intracranial hemorrhage with high accuracy was substantiated in research presented at the 2018 Society for Imaging Informatics in Medicine (SIIM) annual meeting, according to the company.
HealthICH is part of Zebra's multimodality AI triage technology that also includes Zebra's HealthPNX, an AI algorithm for detecting pneumothorax on x-rays.
![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)
