User's stories
Healthcare
As a hospital authority, I would like to integrate my hospital system with CadFlow so that data from examinations can be automatically analyzed and coronary artery diseases diagnosis and treatment supported.
As a medical specialist, I would like to upload DICOM images to facilitate data analysis and receive AI-based diagnosis support, allowing me to spend more time with patients rather than laboriously reviewing data.
Researcher
As a researcher, it is essential for me to access a reliable reference database to facilitate the development and validation of my AI algorithms.
As a researcher, I require access to pre-processed raw data to utilize it for my own machine-learning projects.
Medical partner
My goal is to support the creation of a reference database with sufficient information for machine learning purposes and contribute to the continuous improvement of CadFlow quality by annotating and correcting AI algorithm results in a convenient manner rather than manually creating them from scratch.
Medical specialists
Medical experts, particularly cardiologists, can actively engage by providing annotations and corrections to AI algorithm results. Their valuable input ensures the accuracy of coronary artery segmentation, branch identification, and lesion detection and characterization. Additionally, their feedback on user experience will aid in refining the product for optimal performance.
Healthcare Providers
Hospitals, both public and private, and other medical units have the opportunity to integrate CadFlow into their workflow for real-time coronarography analysis. Our cloud-based teleconsultation platform facilitates collaboration among heart teams, enabling the secure sharing of medical data for consultations.
Medical Specialists (cardiologists)
Cardiologists looking to enhance their diagnostic capabilities can utilize CadFlow for stenosis detection, characterization, and SyntaxScore calculation. By incorporating CadFlow into their practice, they can save time and have coronarography data analysis and treatment decisions facilitated.
Healthcare Providers’ benefits
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 (Hear 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 and development institutions, universities, and researchers seeking robust datasets for ML model training and algorithms development are encouraged to collaborate with CadFlow:
Reference Ground Truth Database
Hospitals, both public and private, and other medical units have the opportunity to integrate CadFlow into their workflow for real-time coronarography analysis. Our cloud-based teleconsultation platform facilitates collaboration among heart teams, enabling the secure sharing of medical data for consultations.
CadFlow can be used to create ground truth datasets
in other medical applications by automation of data acquisition, anonymization, curation and validation, data storage, monitoring, metadata management, and facilitation of manual and semi-automatic data labeling.
AI/ML/DL facilitation
We offer the opportunity to validate algorithms on our reference database and infrastructure. Additionally, CadFlow can be leveraged on external datasets, enabling comparisons of algorithm performance.
Research collaboration benefits
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:
CadFlow 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, CadFlow 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, CadFlow 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:
CadFlow'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.
Pricing
For personalized assistance and a tailored pricing offer, please reach out to us directly. We’re eager to learn about your specific use case and analyze your unique needs. Our team is dedicated to providing you with the best solution that aligns perfectly with your requirements. Contact us today to begin the discussion and explore how our services can benefit your project.
