Elevating intelligence in Interventional Cardiology
See Clearer with αEvolve Imaging, in real-time
Clear fluoroscopic imaging enhances confidence and can help improve clinical outcomes, procedural efficiency and reduces the frequency of digital acquisition, leading to further dose reduction for patients and operators.
With Deep Learning based noise reduction and multi-frequency processing αEvolve can deliver 2 times higher contrast-to-noise ratio compared to conventional image processing.
αEvolve Imaging (Fluoro)
Yi Hu.
Senior Imaging Scientist, Canon Medical Research USA, Inc
Accurate Stenting with Dynamic Device Stabilizer (DDS)
Interventional Cardiologists face challenges with stent visualization, device positioning and expansion. DDS utilizes deep learning to automatically detect balloon markers in real-time, magnifying and stabilizing the image on a separate screen to assist visualization and assessment.
Dr. Sanjeevan Pasupati
Interventional Cardiologist of the Department of Cardiology at Waikato Hospital, Hamilton, New Zealand.
Support Structural Heart Disease (SHD) treatment with Echo Fusion
Complexity in Structural Heart Disease is increasing, with new procedures requiring accuracy and efficiency. With intelligent Deep Learning technology, Echo Fusion automatically identifies the echocardiography probe and fuses the fluoroscopic image without additional operator input.
