French artificial intelligence (AI) software developer Avicenna.AI has partnered with German radiology AI platform provider Deepc on AI algorithms for brain imaging.
As a result, Avicenna's stroke suite of triage and quantification algorithms will be available on Deepc's deepcOS platform. Two Avicenna triage applications -- CINA-LVO for flagging suspected large vessel occlusion (LVO) on CT angiography and CINA-ICH for highlighting suspected acute intracranial hemorrhage (ICH) on CT scans -- have received U.S. Food and Drug Administration clearance.
A third tool -- CINA-ASPECTS for automatically measuring an Alberta Stroke Program Early CT (ASPECT) score to assess ischemic changes in stroke -- has secured the CE Mark.
![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)
