Empowering Diagnosis
and Treatment in

Coronary Artery Disease

Integration of AI and Data-Driven Solutions, and expert medical knowledge for leveraging Precise and Patient-Centered Care


CadFlow provides automatic coronarography data analysis including stenosis detection, characterization, and quantification, contributing to automatic calculation of the SyntaxScore parameter. This state-of-the-art capability is achieved through the seamless integration of dedicated AI algorithms, advanced ML approaches, and invaluable medical domain expertise.

Developed in close collaboration with cardiologists, CadFlow incorporates specific quality metrics and detailed end-user requirements to ensure clinical compliance, making it a cutting-edge solution in cardiac care. The CadFlow platform allows healthcare professionals to take advantage of artificial intelligence and data-driven insights to enhance diagnostic accuracy and optimize patient care, enabling patient-centered personalized cardiac treatment.

Coronary Artery Disease

Coronary artery disease (CAD) is a pathological condition caused by the cholesterol-based plaque buildup on the walls of the coronary arteries, the vessels responsible for providingoxygen-rich blood to the heart muscle. Over time, the progressive buildup of plaque results in the gradual narrowing of the arterial lumen (atherosclerosis). 

CAD is the leading direct (myocardial infarction), and indirect (stroke, hypertension, pulmonary embolism, thromboembolism, hemorrhage) cause of death worldwide.

There are many factors influencing its development including genetics and lifestyle associated that are still under research investigation. Nevertheless, timely diagnosis and treatment can limit its negative effects, transforming it into a manageable comorbidity rather than a fatal condition.

Currently, the diagnosis is made on the basis of manual analysis of the images acquired during widely available X-ray based medical examination procedure – coronarography.

Leading cause of death globally,
taking an estimated

17 million

lives each year (32% of deaths)

An increase of

20 %

in deaths between 2000 and 2019

Leading cause of death globally,
taking an estimated

195 million

people are living with coronary heart disease


is to drive continuous advancements in cardiac care to achieve superior
diagnostic accuracy, personalized treatment, and improved patient outcomes
through relentless research, and collaboration with medical experts,
by providing AI-based edge quality tools.


By joining the forces of cardiology specialists, medical image analysis, and developers, we propose a strategy that significantly facilitates the treatment delivery process.
Our system – CadFlow – provides automated analysis of coronarography image data and SyntaxScore calculation by employing AI/ML based techniques. Through a continuous cycle of verification and refinement in collaboration with medical experts, we ensure the highest level of clinical viability of the system.




Hospital DICOM Repos

ML Algorithms & CAD

Research Appliance

Teleconsultation and Data Sharing

For whom we create

For healthcare



For research

University, Research Institution


A novel AI system for computer aided detection and characterization of cardiovascular stenosis


The application is divided into independent microservices, according to the natural steps of coronarography data processing. Medical specialists are provided with insight into every step and the required level of explainability is ensured to build trust in medical community. Each step is transparent and can be manually corrected by medical doctors. Their feedback is collected to further improve AI algorithms and machine learning models, thus creating a reliable reference database for future deep-learning applications.

The Syntax Score calculation algorithm consist of the following steps:




and branch


and lesion


3D coronary


Summary of all
stenosis detected,
Syntax score calculation
and final report


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We recognize the value of collaboration with leading heart surgeons and specialists. By working hand in hand with medical experts, we gain invaluable insights, ensuring that our AI-driven solutions are both clinically relevant and practical in real-world medical settings. Long-Term Partnerships: We cultivate long-term partnerships with healthcare providers, researchers, and institutions, fostering collaborative relationships that lead to sustainable advancements in cardiac care.

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Commitment and dedication

We are deeply committed to our mission of advancing cardiac care through AI- driven solutions. Our dedication to improving patient outcomes and revolutionizing cardiovascular medicine fuels our every endeavor.

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We are driven by our passion for improving cardiac care and making a meaningful impact on the lives of patients and healthcare professionals.

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We embrace a culture of continuous innovation, fostering creativity and curiosity to push the boundaries of AI-driven solutions in cardiac care.

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We uphold the highest ethical standards, demonstrating honesty, transparency, and accountability in all interactions with patients, healthcare professionals, institutions, partners, and stakeholders.

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We are dedicated to delivering top-quality solutions and services, from research and development to patient care, ensuring the highest standards in all our efforts

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Social Responsibility

We are committed to making a positive impact on society, with a specific focus on cardiachealth and patient-centered care. We strive to contribute to the well-being of communities by advancing cardiovascular medicine and promoting sustainable practices that benefit patients and the broader healthcare ecosystem.

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We deeply understand and empathize with the challenges faced by patients, their families, and healthcare professionals. Our patient-centered approach ensures compassionate care and support throughout the healthcare journey.


Key opinion testimonials

Andrzej Nowak
MD, cardiologist

Thanks to the CadFlow application, the time spent on image analysis, localization of the stenosis and above all, SYNTAX Score calculation is significantly reduced. It gives the operator more time to use the additional tools necessary to confirm the severity of the stenosis and ultimately to apply the appropriate treatment. The CadFlow application is useful both for young adepts, streamlining the training process, as well as for experienced hemodynamicists, improving their work and reducing the risk of incorrect patient qualification.

Sebastian Gurba
MD, cardiologist

It is a great advantage that CadFlow offers step-by-step SYNTAX score calculation including detection of places suspected of significant stenosis. It is certainly useful as a helpful tool in the interpretation of the coronary angiography image for both experienced interventional cardiologists and beginners. The latter, will be definitely less likely to overlook any stenosis therefore CadFlow can be also an invaluable added value to the training process of young adepts.

Sebastian Gurba
MD, cardiologist

Thanks to CadFlow, the SYNTAX score calculation process is greatly simplified. On the one hand, it is automated, it detects lesions suspected of significantly narrowing the lumen of the vessel and determines the segment in which they are located, but leaves the hemodynamist the ability to influence the process of calculating the results, e.g. if he performs, in addition to classic coronary angiography, also a functional evaluation e.g. FFR/iFR or imaging (IVUS/OCT) and on the basis of such an examination considers the stenosis to be insignificant.