Summary
- Profile Type
- Research & Development Request
- POD Reference
- RDRTR20250213024
- Term of Validity
- 13 February 2025 - 13 February 2026
- Company's Country
- Turkey
- Type of partnership
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- Turkish Company is developing artificial intelligence (AI) solutions for medical imaging. It is seeking project partners to collaborate on international programs (Eureka, Eurostars, etc.).
- Full Description
-
A Turkish SME is a health technology innovator focusing on artificial intelligence (AI) solutions for medical imaging to reduce interpretation delays among physicians, improve diagnostic precision, and enhance patient well-being. The organization collaborates with hospitals, medical research institutions, PACS (Picture Archiving and Communication Systems) software developers, medical device manufacturers, and insurance companies to integrate AI-driven automation into radiology workflows. It specializes in AI-powered clinical decision-support solutions for radiology and operates in compliance with
-ISO 27001 (Information Security Management),
-ISO 13485 (Medical Device Quality Management),
-ISO 27701 (Privacy Information Management), and
-ISO 9001 (Quality Management). The company conducts its R&D and innovation activities from its base in Istanbul.
The company is the manufacturer and technology provider of software products.
With a skilled team of researchers and expert consultants specializing in Artificial Intelligence, Image Processing, and Radiological Imaging, along with a well-established business network, the company has built a robust foundation in data labelling, image analysis, and the development of digital health solutions.
The developing product under the project, clinical decision support system analyzes radiological images to identify physiological abnormalities, utilizing a sophisticated algorithm that combines various medical procedure outcomes for more accurate results competing with current gold standards in diagnosis.
This project focuses on acquiring and annotating radiological and medical data, refining the AI algorithm and software to detect abnormalities, and conducting pre-clinical evaluations and clinical trials for commercialization. We seek to collaborate with clinical and AI experts, as well as healthcare institutions and research centres, to support data collection and labelling efforts. - Advantages and Innovations
-
The clinical decision support system under development will be a solution capable of detecting physiological anomalies in different regions from radiological images, operating on both web-based and embedded architectures.
Key Advantages:
✔Real-Time AI Analysis: Delivers results in 5 seconds, significantly reducing diagnostic delays.
✔ Higher Diagnostic Accuracy: Minimizes operator-dependent variability, ensuring consistent and objective evaluations.
✔ Reduction in Unnecessary Biopsies: AI-driven risk assessment lowers false positives and unnecessary invasive procedures.
✔ Cloud-Based Scalability: Enables seamless integration with PACS systems and medical devices, ensuring accessibility across healthcare facilities.
✔ Cost-Effective Solution: strengthen healthcare economies by eliminating unnecessary procedures performed under the name of “definite diagnosis
Innovations:
✔ Enhanced AI Algorithm: Utilizes multi-parameter analysis for superior accuracy.
✔ Personalized Risk Scoring: AI-driven insights assist clinicians in making faster, evidence-based decisions.
✔ Regulatory Compliance & Market Expansion: Designed to comply with CE, FDA, and MDR, ensuring global applicability.
✔ Seamless Integration: Works with existing devices/software, eliminating the need for expensive hardware upgrades. - Stage of Development
- Under development
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
- Goal 17: Partnerships to achieve the Goal
- Goal 3: Good Health and Well-being
- IPR status
- No IPR applied
Partner Sought
- Expected Role of a Partner
-
The main tasks of this project include:
Research centres/universities/SMEs that can contribute to clinical validation and R&D processes.
Long-term strategic integration opportunities with PACS and medical device manufacturers.
Healthcare institutions and academic collaborations to assist in data collection and annotation processes.
Partners with expertise in AI systems and clinical research.
-Enhancing the AI algorithm to identify and correlate abnormalities in targeted regions.
-Performing pre-clinical evaluations to assess the system’s accuracy.
While we have extensive experience in AI system development and product innovation, we aim to collaborate with experts/SMEs in the clinical domain and AI applications in healthcare. Additionally, we are looking for healthcare institutions and research centres as partners to support data collection and labelling efforts. - Type and Size of Partner
- SME 11-49
- SME 50 - 249
- R&D Institution
- SME <=10
- University
- Type of partnership
- Research and development cooperation agreement
Call details
- Framework program
- Eureka
- Call title and identifier
-
Eurostars / Eureka
- Coordinator required
-
Yes
- Deadline for EoI
- Deadline of the call
- Eureka
Dissemination
- Technology keywords
- 06005004 - Remote diagnostics
- 06001005 - Diagnostics, Diagnosis
- Market keywords
- 05002005 - Other medical imaging
- 02007021 - Other Artificial intelligence related
- 02007016 - Artificial intelligence related software
- Sector Groups Involved
- Health
- Digital
- Targeted countries
- All countries