Autosymed SRL

Autosymed finalized a project sponsored by the Innovation Norway program to identify strategic aspects and define the roadmap for future growth. The CadFlow improved accuracy and precision, making the process four times faster and enhancing quality. The solution will be further optimized for regulations and local procedures to meet the new growth strategy. Autosymed realigned a growth strategy for expanding Romanian, Polish, German, and British markets. The company also applied for patent and trademark protection to continue its brand know-how security master plan.

Autosymed Cadflow strategy TV Autosymed finalized a project sponsored by the Innovation Norway program to identify strategic aspects and define the roadmap for future growth. The CadFlow ...

https://pinmagazine.ro/med-tech-start-up-autosymed/

Romanian med-tech start-up Autosymed improve their solution dedicated to cardiologists and aim to take it from Iasi to global level - PIN Magazine Technological advancements are undeniably reshaping the healthcare landscape, revolutionizing how patients engage in their treatment process and how doctors

Join us for the inaugural episode, now live, as we dive into the cutting-edge world of cardiac care revolution. In this first episode, we feature exclusive insights from two industry trailblazers:

🌟 Delia NECULA, MBA - Mentor & President of MedTech Committee at InnovX
🌟 Grzegorz Jarząb - Chief Technology Officer at Autosymed SRL

Revolutionizing Cardiac Care The Corflow Chronicles | InnovX Podcast #5 Join us for the inaugural episode at the end of tis week, where we delve into the cutting-edge world of cardiac care revolution. Our first episode will featu...

CorFlow offers dedicated APIs for various use cases and recipients, including cardiologists, medical specialists, AI and medical researchers, and developers.

https://www.youtube.com/watch?v=y7N1kBe33j0

Autosymed's CorFlow - the artificial intelligence that looks for the source of 17 million deaths a year - article published in https://start-up.ro/corflow-inteligenta-artificiala-care-cauta-sursa-a-17-milioane-de-decese-pe-an/

https://www.corflow.eu/bcr-innovx-bootcamp-for-scaleups/

BCR InnovX bootcamp for Scaleups – Corflow Autosymed completed an extensive BCR InnovX bootcamp for Scaleups targeting various domains such as gaming, e-sales & marketing, imaging, and healthcare. During two months of lectures and assignments, a complex roadmap for Austosymed company development focused on CorFlow commercialization and strat...

https://www.corflow.eu/2023/11/25/

November 25, 2023 – Corflow New strategic partnershipsThe following strategic partnerships have been established as a result of recognition gained during the InnovX scale-ups bootcamp 2023.

www.linkedin.com

Finalization of development in the project - CorFlow API Exposure
Project no.: 2022/347151
Program name: SMEs Growth Romania - Boost to Romanian Business sector: Business
Growth in Start-ups - 2nd call
Project name: CorFlow API Exposure - AI based Computer Aided Medical System Capabilities Exposure with API Service
Project Promoter: SC AUTOSYMED SRL

The Autosymed team is happy to announce the finalization of the CorFlow API Exposure project. The goal of R&D activities was to enhance the Corflow solution with the Capabilities of Open API services to integrate with “client” applications to realize more complex cardiological use cases based on Computer-Aided Diagnosis. Our team developed Service APIs to be used by research and development institutions, universities, and researchers seeking robust datasets for ML model training and algorithm development, who are encouraged to collaborate with CorFlow.

Service endpoints for DICOM artifacts:
Service API for different queries and interconnections on DICOM repositories, based on a specified metamodel scheme, to enable CRUD database interaction for client applications.
Service endpoints for feedback operations

Service API to facilitate CRUD operations on data related to automatic corrections provided to AI algorithms deployed on specific images:
Feedback for selected series and frames regarding segmentation, branch identification, stenosis detection and characterization, SyntaxScore calculation, and justifications for any changes. Apart from corrections provided by MD in a dedicated format, feedback data is based on metadata such as study details, primary/secondary angle, date of acquisition, data of feedback generation, author, etc.

Service endpoints for AI algorithms:
Dedicated API facilitates CRUD operations on data related to AI algorithms’ results. Service API with dedicated user interface for Syntax Scores calculation with integrated AI algorithms for vessel segmentation, branch identification, stenosis detection and characterization, template-based reporting, and 3D data visualization. Database failover system to enable reliable hosting and system deployment.

Service endpoints for Feedback loop to support automatic integration of corrections provided to AI algorithms’ results:
MD provides a feedback loop for manual corrections through a dedicated user interface for AI algorithms' results (frame and series selection, segmentation, branch identification, stenosis detection, and characterization). This loop enables automatic model feeding with provided corrections and training results enhancements so that AI algorithms' results successively improve.

Diagnosis and Treatment decision support system with Corflow Rich-UI:
Service API to enable diagnosis and treatment decision support based on SyntaxScore through an advanced and flexible customized interface using a shareable database or integrated customers’ database. Rich UI features cover data selection and integration, 3d data visualization, SyntaxScore calculation, and customized diagnostic report generation.

Hospitals, both public and private, and other medical units have the opportunity to integrate CorFlow into their workflow for real-time coronography analysis. Our cloud-based teleconsultation platform facilitates collaboration among heart teams, enabling the secure sharing of medical data for consultations. Autosymed CorFlow's commitment to data sharing contributes to advancing 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.

We are constantly developing and improving the Corflow application with capabilities APO. For more details, please check - https://www.corflow.eu/services/

We are excited to announce that Autosymed SRL earned the prestigious "InnovX Seal of Excellence" thanks to successful participation incredible journey in the InnovX-BCR Scaleups 2023 Program.

Our team is currently finalizing the 2nd phase development of the project founded by Romanian Norway program with significant achievements and deliverables:
- Capabilities Open API services to integrate with “client” applications to realize more complex cardiological use cases based on Computer-Aided Diagnosis.
- Service API for different queries and interconnections to enable database interaction for client applications based on specified metamodel schemes
- Integrated service API with flexible parametrization of feedback and review by MD with interface supporting study, series, frame selections, and justifications.
- Platform cloud-native components for Kubernetes to integrate storage drivers to provide storage vendor integration through the K8S operator framework. Monitoring dashboards for storage services configured. The solution is ready for verification.
We are constantly developing and improving the Corflow application with capabilities APO. For more details, please check the following:
https://autosymed.com/2023/11/30/development-of-2nd-phase-in-the-project-corflow-api-exposure
https://www.corflow.eu/services/

Our team is currently finalizing the development phase of the project with some key deliverables:

- Capabilities Open API services to integrate with “client” applications which will realize more complex cardiological use cases based on Computer-Aided Diagnosis.

- Service API definition to support REST-based operations on DICOM repositories to automatically detect coronary artery stenosis and its quality monitoring and control.

- Service API for refinement of frame selection algorithm, stenosis detection and algorithm characterization, and 3D reconstruction algorithm.

- Acquire advanced storage and firewall solutions to deliver on-premise cloud solutions for hosting DICOM images required for AI algorithm.

- Anonymized DICOM images with cardiac treatment data to enable AI algorithm quality improvements for automated SyntaxScore calculation and reference database services APIs.

We are constantly developing and improving.

https://autosymed.com/2023/09/07/development-phase-in-the-project-corflow-api-exposure/

We are very pleased to inform you that we are actively developing the advanced research and development project CorFlow API Exposure.

Our goal is to create reference databases of medical systems using APIServices supported by artificial intelligence. The project's vision is the continuous improvement of cardiac care to achieve its highest efficiency.

It is our priority to achieve the following:
- diagnostic accuracy,
- personalized treatment,
- the highest quality tools based on artificial intelligence.
All this is in cooperation with medical experts and based on constant research.

The CorFlow API Exposure system provides scalable and integrated AI tools to support the most complex cardiac use cases, ensuring efficiency in diagnosing and treating patients with different needs.

The artificial intelligence-based system automatically analyzes the coronographic image data, detects and characterizes the stenosis, and automatically calculates the SyntaxScore, saving the time and effort of medical staff.

Function APIs enable the integration of Corflow AI services into client applications and many other uses for R&D institutions, universities, and researchers looking for robust datasets for training machine learning models and developing algorithms.

We encourage you to cooperate with CorFlow.

Corflow – a novel AI system for computer aided detection and identification of cardiovascular stenosis.

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

During the project duration and thanks to provided funding, our team developed the Corflow application to enable SyntaxScore calculation based on an advanced and custom-developed AI algorithm.

In cooperation with a wide range of cardiothoracic surgeons, cardiologists, and scientists dealing with data daily, we determined the direction in which we should be heading to make the most of the goals and tasks of the system.

The Corflow solution exposes RichUI application deployed in Azure cloud designed with modern architectural microservice design to enable custom components interaction responsible for AI processing and DICOM image management.

We delivered a custom-developed AI algorithm to detect and recognize cardiovascular structures in DICOMs according to a well-defined workflow with functions for study and data series selection, automatic segmentation of cardiovascular structures to stenosis detection at different projections, and finally automatic SyntacScore calculation.

The current version of the system enables segmentation assessment by Medical experts to store feedback from the coronary angiography analysis to be used for future enhancements of the AI algorithm quality. We have plans for more advanced automation based on ML-OPS and service capabilities API exposure to integrate an ecosystem of other applications.
https://autosymed.com/2023/06/07/development-in-the-project-2/

In December 2022, representatives of Autosymed S.R.L visited a Cardiological Ward at the
Independent Public Health Care Centre of MSWiA in Rzeszów. This is one of the most advanced
cardiological departments in Poland, equipped with, among others, cardiopulmonary bypass sets
combined with a blood autotransfusion device, an electroanatomical system (3D system) with
modules, an echocardiographic device compatible with intracardiac transducers, an ACT measuring
device, a module for reconstructing heart chambers anatomy.

The purpose of the meeting was to present to a wider group of healthcare professionals and
technicians a demo of the Corflow system that uses techniques based on AI/ML to provide automatic
analysis of coronary angiographic imaging based on an initial set of DICOM images.

The medical community positively reacted to the possibility of using the Corflow system in
their daily medical practice. Patients suffering from a multivessel coronary artery disease represent
numerous groups of admitted cases, therefore, the system enabling doctors prompt identification of
this disease and determination of individual treatment methods will increase the effectiveness of
their daily work.