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
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
lives each year (32% of deaths)
An increase of
in deaths between 2000 and 2019
Leading cause of death globally,
taking an estimated
people are living with coronary heart disease
Our VISION
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.
CadFlow
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.
Data
AI/ML/DL
Algorithms
Medical
Expertize
Hospital DICOM Repos
- API for automated data collection from hospitals repositories
- Data ingestion, curation, labeling and preparation
ML Algorithms & CAD
- AI toolset for algorithms development
- AI based algorithms for SyntaxScore calculation, stenosis detection and characterization
- Direct decision support during coronarography
- Support for optimal therapy selection
Research Appliance
- Ready ground truth datasets
- Facilitation of manual and semi-automatic external data labeling
- API for development and testing own algorithms
Teleconsultation and Data Sharing
- Support for expert knowledge exchange through remote Computer-Aided Diagnosis and Teleconsultation System (Heart Teams)
For whom we create
For healthcare
Healthcare
authority
Cardiologists
- Direct decision support during coronarography
- Support for optimal therapy selection
- Syntax Score calculation, Stenosis detection and characterization
- Support for expert knowledge exchange through remote Computer-Aided Diagnosis and Teleconsultation System (Heart Teams)
For research
University, Research Institution
Researchers
- Trusted reference sharable ground truth database with medical experts’ annotations for algorithm development and testing
- Tools for manual and semi-automatic support for data labeling
- AI/ML/DL - algorithms validation infrastructure
- Reduced Waiting Times: Shorter waiting time for specialist consultations, faster diagnosis, and access to treatment.
- Personalized treatment: Tailored treatment plans based on individual needs optimize treatment effectiveness.
- Improved Clinical Outcomes: Enhanced treatment precision contributes to better survival rates and overall quality of life.
- Enhanced Patient Experience: The system streamlines healthcare procedures, providing a smoother and more efficient experience for patients.
- Empowerment through a Patient-Centric Approach: Patients become active participants in their healthcare journey and are more comprehensively informed since doctors can dedicate more time and effort to them.
- Direct Decision Support: During Coronary Angiography, AI-driven tools offer real-time decision support, enabling faster and more accurate diagnoses.
- Scalable AI Tools: The system provides scalable and integrated AI tools designed to handle the most complex cardiology use cases, ensuring efficiency in diagnosing and treating patients with varying needs.
- Automated Analysis: The AI-powered system automatically analyzes coronarography image data, detects and characterizes stenosis, and automatically calculates the SyntaxScore, saving time and effort for medical professionals.
- Minimizing Manual Labor: Automated analysis reduces manual tasks, optimizing workflow and enhancing operational efficiency. Medical specialists can allocate more time and focus on patient care, fostering stronger doctor-patient relationships and enhancing patient-centric care.
- Optimal Therapy Selection Support: AI-based tools assist in the selection of the most suitable and personalized therapy options, optimizing treatment outcomes for patients.
- Remote Computer-Aided Diagnosis and Teleconsultation System: The system facilitates expert knowledge exchange through remote computer-aided diagnosis and teleconsultation system (Heart Teams), allowing specialists to collaborate and provide valuable insights to enhance patient care.
- Cost Savings: Streamlined processes lead to reduced operational expenses and increased cost-effectiveness.
- Positive Reviews and Reputation: Enhanced patient experience and treatment outcomes result in positive reviews and a strengthened healthcare provider reputation.
- Better Resource Utilization: Automated analysis optimizes resource allocation, maximizing healthcare facility resources and improving overall resource management.
- Increased Revenue Potential: Improved patient outcomes and positive patient experiences can attract more patients and potential revenue growth.
- Research Reproducibility: Shared datasets enable researchers to validate their algorithms and findings. The availability of standardized data enhances the reproducibility of research, contributing to the credibility and reliability of scientific studies.
- Trusted and Explainable AI: CorFlow prioritizes transparent AI models, instilling confidence in diagnostic and treatment recommendations. This transparency ensures that the technology aligns with established medical guidelines and best practices.
- Collaborative Community: By promoting data sharing, CorFlow creates a collaborative community of healthcare providers, researchers, and specialists. This community-driven approach facilitates knowledge exchange and mutual learning.
- Transparency for Product Quality: Data sharing fosters transparency and allows objective evaluation of the proposed technologies, ultimately enhancing the overall quality and reliability of the technology. Through collaborative data sharing, CorFlow not only benefits but also contributes to the advancement of the broader medical community by facilitating rigorous evaluation and improvement of medical technologies.
- New Medical Insights: Analyzing diverse patient data can reveal valuable patterns, correlations, and treatment strategies that may not have been apparent before. These discoveries can lead to innovative approaches and breakthroughs in cardiac care.
- Advancement of Science and Cardiac Care: CorFlow’s commitment to data sharing contributes to the advancement of science and cardiac care. By collaborating and sharing knowledge, the medical community can collectively elevate the standard of cardiac medicine, leading to better patient outcomes and improved healthcare practices.
A novel AI system for computer aided detection and characterization of cardiovascular stenosis
Algorithms
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:
1.
Study
selection
2.
Coronary
artery
segmentation
and branch
identification
3.
Stenosis
identification
and lesion
specification
4.
3D coronary
artery
tree
reconstruction
5.
Summary of all
stenosis detected,
Syntax score calculation
and final report
generation
Values
Collaboration
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.
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.
Passion
We are driven by our passion for improving cardiac care and making a meaningful impact on the lives of patients and healthcare professionals.
Innovation
We embrace a culture of continuous innovation, fostering creativity and curiosity to push the boundaries of AI-driven solutions in cardiac care.
Integrity
We uphold the highest ethical standards, demonstrating honesty, transparency, and accountability in all interactions with patients, healthcare professionals, institutions, partners, and stakeholders.
Excellence
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
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.
Empathy
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.
Partners
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.
