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Description
SC Autosymed SRL, established in 2021 in Iasi, specializes in ITC services, particularly custom software development with a focus on cardiac consulting solutions. Their teleconsultation technology, TeleDICOM, is used in over 50 healthcare facilities in the EU, including the US Center for Rare Cardiovascular Diseases. In this project, SC Autosymed SRL aims to expand their CorFlow cardiac solution by automating the detection of aortic stenosis and supporting Syntax Score assessments widely used in cardiology. Building on their prior experience, the project also seeks to expand its consumer base to include scientists, AI engineers, medical doctors, and hospitals by creating specialized solutions (APIs) to enhance CorFlow''s capabilities and improve the accuracy of cardiovascular disease diagnosis through automated Syntax Score computation.
The first project aims to create advanced technology tools (APIs and data repositories) for better computer-aided diagnosis (CAD) services using artificial intelligence (AI). They want to work with the medical community to improve CoreFLOW, making it easier for heart specialists to use AI for diagnosing aortic stenosis using heart images. This technology can be applied to other domains in the long-term.
The extended project aims to develop and enhance CorFlow as a product by implementing additional algorithm testing to improve its training and resilience against various heart stenosis cases. The project''s goal is to improve the accuracy and reliability of the system for detecting and diagnosing stenosis cases in different medical images. Additional factors include recognizing the importance of legal and commercial readiness. A foundation in intellectual property, legal compliance, and commercial agreements is essential for sustained growth and customer engagements.
Summary of project results
The project aimed to address several critical challenges in the field of cardiology. The primary issues included the need for an advanced cardiological solution to automatically detect aortic stenosis and support the Syntax Score calculation, which is essential for the anatomical assessment of a patient''s coronary arteries. Additionally, there was a need to enhance the CorFlow system''s performance and robustness by refining its training and fortifying its resistance to diverse heart stenosis cases. The project also sought to address the lack of appropriate skilled resources, insufficient data for training Machine Learning algorithms, and low interest in advanced software tools for Computer Aided Diagnosis in the healthcare sector.
The project undertook several activities to address the challenges in cardiology. It involved acquiring and annotating approximately 1500-2000 DICOM images to enhance the training and testing of the AI/ML model, thereby improving the software algorithm''s performance. Additionally, the project conducted an analysis of its IP and patent application placement, workflows, and personal data handling, ensuring GDPR compliance and trademark registration. A comprehensive marketing strategy was implemented, including market research, brainstorming sessions, and the development of a marketing plan. Furthermore, the project conducted research on regulations and standards for using the software in different countries, ensuring compliance and identifying translation requirements for product localization. Project management and publicity efforts were also included to ensure the project''s success.
The project achieved significant results for various beneficiaries. Healthcare facilities and medical professionals benefited from the advanced cardiological solution, CorFlow, which improved the accuracy and reliability of detecting and diagnosing cardiovascular stenosis. The project generated a dataset of 1500-2000 DICOM images, trained and tested an AI/ML model, and provided a report summarizing the findings and recommendations. Legal and marketing deliverables included a robust legal foundation for Autosymed, a comprehensive marketing strategy, and a focused roadmap for brand enhancement and growth. Product localization efforts ensured compliance and cultural suitability for successful global market entry, ultimately benefiting the medical community and healthcare facilities.