Feb 16, 2021

RSIP Vision launches AI tool for coronary assessment

AI
coronary disease
computer vision
deep learning
Leila Hawkins
2 min
   RSIP Vision launches AI tool for coronary assessment
The new module uses state-of-the-art deep learning algorithms and computer vision methods to create a 3D model of the coronary arteries...

The new module uses state-of-the-art deep learning algorithms and computer vision methods to create a 3D model of the coronary arteries

Medical imaging company RSIP Vision are launching a tool powered by AI and computer vision that will help with coronary artery analysis and intervention planning. 

The fully automated solution provides an accurate 3D model of coronary artery anatomy, giving precise measurements of the artery length and diameter at any point. This aims to help clinicians perform image-based assessments of coronary artery function and diagnose conditions like artery narrowing, known as stenosis. 

It will also help physicians with advanced procedure planning, including stent selection and stent positioning. Additional modules can show artery modification as a result of stent placement, or place a virtual stent in the desired position within the coronary artery. These replace invasive cardiac measurements. 

“The cardiac CT-scan contains vast amounts of data surrounding the coronary arteries, and our mission is to extract it” Ron Soferman, founder & CEO at RSIP Vision said. “Its wide availability and excellent resolution make it a preferred imaging modality for cardiology purposes. 

“We are pleased to introduce our new module that will aid in the detection of coronary artery stenosis and be useful in coronary intervention (PCI) planning. We believe strongly this will reduce the need for additional interventions, while decreasing the chance of adverse events due to incorrect stent selection.”

Dr. David Yakobi, Board Certified Cardiac Surgeon, explained that proper pre-procedural planning is essential for any invasive cardiac intervention. “Any automated technology that eliminates human error and bias contributors has the potential to augment procedural success, increase stent patency rate in the long-run and avoid unnecessary consecutive interventions. 

“This module will also allow us to integrate its analytical findings and classify the severity of patient’s combined coronary stenoses, so the interventional cardiologist can predict the outcome of the procedure to guide the choice between coronary intervention and CABG (Coronary Artery Bypass Surgery) and predict long-term survival.”

RSIP Vision has 25 years’ experience in medical imaging. Going forward, they plan to extend the functionalities of this new tool, including calcification detection, support for pre-existing stents, and 3D reconstruction from 2-dimensional X-rays. 

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