GE Healthcare has partnered with Fujitsu Australia, Macquarie University, and Macquarie Medical Imaging to develop artificial intelligence (AI) algorithms that can help clinicians diagnose and monitor brain aneurysms on CT scans.
For the project, researchers from the various institutions will apply Fujitsu's AI technology to brain CT scans acquired using GE's Revolution CT scanners. Their aim is to develop an AI algorithm that can detect possible aneurysms and track them over time, including in highly vascular areas of the brain such as the circle of Willis, according to the organizations.
An AI assistant capable of automatically flagging potential aneurysms can help address the issue of rapid and accurate diagnosis of brain aneurysms and make a huge difference in patient care, noted Dr. John Magnussen, a radiologist from Macquarie Medical Imaging, in a statement.
The research collective has secured a $2.1 million Australian ($1.4 million U.S.) grant from the Australian Department of Industry, Innovation, and Science.
![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)
