ScImage has integrated EchoSolv AS into its cloud-native Picom365 platform for cardiology.
The platform is designed for imaging workflows, and EchoSolv AS uses machine learning and phenotype-based algorithms to detect and stratify the risk of severe aortic stenosis and related heart conditions.
EchoSolv AS links echocardiography datasets to mortality outcomes, according to ScImage. The integration offers providers the following:
- Insights into severe aortic stenosis (AS), diastolic dysfunction, and heart failure
- Guideline-based detection of severe AS using phenotype-based AI risk stratification
- Multidimensional analysis intended to improve diagnostic confidence across varying skill levels and clinical settings
- Support for value-based care initiatives
ScImage noted in its announcement that its platform has 1,200 active users across the U.S. With the firm's partnership with Echo IQ, MedAxiom-affiliated hospitals and cardiology practices will have access.
![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)
