CORDiguide Introduces Cutting-Edge Autonomous AI-based
Platform Into Cardiovascular Procedures
Safe, efficient and accurate mentoring and automated guidance products
for cardiac, cerebral and other angio-based interventional treatment procedures
Over 30% timesaving
Efficient interventional procedures
Over 20% reduced amount of contrast agent
Over 30% reduction in radiation exposure
X-ray vendor agnostic
Suitable for upgrading all existing systems
ADAPTIVE TO NEW TYPES OF PROCEDURES
Unique transfer learning mechanism
Medical Interventional Procedures
CORDiguide Pioneers an Inconceivable Level of Computer-Assisted Guidance
Challenges Posted By Cardiac And Angio-Based Interventional Procedures
The ever expanding range of coronary and vascular interventional procedures require skilled interventionalists with extensive experience, and entail significant cost. Angiographic procedures require high level of x-ray exposure and repeated injection of contrast agent which is harmful.
Optimal visibility of the contrast within the arteries, and of the interventional tools is critical. A system that highlights the roadmap and interventional tools throughout the procedure simultaneously, providing on-line feedback to the operator is a necessity for execution of a safe, accurate and efficient procedure.
CORDiguide's Online Image-Guidance
Using state-of-the-art proprietary Autonomous AI-based methodologies and algorithms, trained on datasets of recorded interventional procedures and online interpretation of the xray signal, CORDiguide products generate very detailed, clear and accurate ‘road map’ of the vascular system, thereby allowing easier, safer and more efficient navigation in the process of getting the interventional tools to the target under reduced amount of contrast agent and of exposure to radiation.
Detection and Tracking interventional tools and devices
Guiding catheters, Guidewires, Balloons, Stents and other devices and instruments
Prediction of the arterial pathways under various vascular anatomies
Based on a single contrast agent injection
Display of road signs and warning signals
Stenotic areas and type of stenosis, other lesions, types of bifurcations, progressing along the wrong branch, abnormal anatomy
Wide range of interventional procedures
Cardiac - PCI, Ablations, TAVR, Pacemakers, Biopsy Peripheral Angio / Cerebral Angio / Prostate artery embolization / Angio-based Oncological treatments, including Brachytherapy
Revolutionizing Cardiovascular Procedures with Powerful Autonomous AI
CORDiguide utilizes Autonomous AI® platform, which is based on a paradigm-shift from supervised & deep learning approach to signature-based unsupervised-learning application of AI methodologies into medical technologies, and other proven large-scale applications.
This proprietary Autonomous AI technology is based on experimental research and modeling of structure and function of the neocortex, conducted at the Technion - Israel Institute of Technology, implementing unsupervised AI methodologies which yield most powerful added value to a variety of diagnostics or interventional cardiovascular treatment procedures, in terms of safety and efficiency.
CORDiguide DNA is endowed with spirit of invention of cortex-based AI technologies, aimed at the application in cardiovascular treatment and other angio-based interventional procedures.
Introducing To Cardiovascular Procedures
Cutting-Edge AI-Based Technology
CORDiguide, an Israeli startup company, founded in 2020 as a joint venture by Prof. Rafi Beyar, Prof. Yehoshua (Josh) Zeevi and Cortica Ltd. It headquartered in Israel.
CORDiguide mission is to provide the most innovative, state-of-the-art AI-based technology for the benefit of a wide range of interventional procedures.
Incorporating CORDiguide's image guidance systems will upgrade significantly the performance attainable by available cath systems and will shorten the procedure time dramatically. This transformational advancement will contribute immensely to the surgical capabilities and self-confidence of MDs, rendering the widely used angiographic-based interventional procedures to become much safer and efficient.
Looking ahead, with the rapid advancements of remotely operated procedures, introduced by Prof. Beyar, and towards the emergence of guided interventional procedures, the incorporation of CORDiguide's AI know-how and expertise, will be of utmost importance in the development of future generations of technologies for autonomous navigation.
Ariel is an experienced and seasoned entrepreneur and manager in the medical device industry. He co-founded and managed medical device companies and led the development from concept to product launch. Ariel is a veteran of the Combat Airborne Rescue & Evacuation Unit of the IAF (unit 669).
Ariel holds a B.Sc. in Biology and an MBA (with distinction), specialising in marketing management and strategy & entrepreneurship; both degrees from the Hebrew University, Jerusalem.
Prof. Josh Zeevi
Josh has a unique combination of academic and entrepreneurial career at leading universities and startup companies. He has been a Professor of Electrical and Computer Engineering at the Technion, his alma mater, and served as its former Dean. He was also a Fellow and a Visiting Professor at Harvard, MIT, Columbia University and NTT (Japan).
Josh is a co-inventor of more than 200 patents and co-founder of several companies—the best known of which is Cortica Ltd.
Josh holds a PhD from the University of California, Berkeley.
Prof. Rafi Beyar
Rafi is a world-renowned authority in Interventional Cardiology. Rafi is a Prof. of Medicine and Biomedical Engineering, former Dean of Technion Medical School, Director of Interventional Cardiology and former Director of RMC. Rafi co-founded InStent (acquired by Medtronic) and Corindus, the first-in-the-world robotic coronary intervention (acquired by Siemens).
Rafi received an MD from Tel Aviv University, DSc in Biomedical Engineering from the Technion, and MPH from the Bloomberg School of Public Health, Johns Hopkins University.
Founder and Chairman of Dover Medical & Scientific Equipment Ltd, a leader in the medical technology market in Israel.
Gideon is graduate of the Technion's Department of Electrical Engineering.
Dr. Yoni Levi
Yoni brings extensive experience in the field of computer vision, image processing and AI. Prior to joining Cordiguide , Yoni served as a scientist in Cortica and AutoBrains Technologies.
Yoni is an expert in the development and implementation of innovative AI-based algorithms for computer vision.
Yoni holds a PhD from the Technion - Israel Institute of Technology.
Shani brings a diverse experience from extensive and significant contributions in setting up Cortica’s spin-off, from the strategy and vision level to a successful launch. Shani has more than 10 years experience in leading business operations and product development teams of large scale products.
Shani holds a B.Sc. (with distinction) in Industrial Engineering and Management from the Technion - Israel Institute of Technology.