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A Turkish Company and a University are seeking partners for the Era-Net Project in the Medical Sector.

Summary

Profile Type
  • Research & Development Request
POD Reference
RDRTR20250219025
Term of Validity
19 February 2025 - 19 February 2026
Company's Country
  • Turkey
Type of partnership
  • Research and development cooperation agreement
Targeted Countries
  • Belgium
  • Croatia
  • Austria
  • Norway
  • Slovakia
  • Taiwan
  • United Kingdom
  • Israel
  • Lithuania
  • Germany
  • Latvia
  • Poland
  • Italy
  • Romania
  • Hungary
  • Ireland
  • France
  • Switzerland
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General information

Short Summary
A Turkish Company and a Health Science University are seeking partners for the ERA-NET NEURON JTC 2025 Project in the Development of an AI-supported extended Reality Platform for Planning, Implementation, and Training Processes in Intrathecal Pain Pacemaker Surgery.
Full Description
This project aims to revolutionize intrathecal pain pacemaker surgery by developing an AI-powered Extended Reality (XR) platform designed to enhance surgical planning, execution, and professional training. Intrathecal pain pacemaker implantation is a complex procedure requiring high precision, yet current tools fall short in supporting surgeons through preoperative planning, intraoperative guidance, and medical training.

Our solution combines Artificial Intelligence (AI) with Augmented Reality (AR) and Virtual Reality (VR) technologies to create a comprehensive platform that provides:

3D Visualization of Intrathecal Anatomy: Utilizing advanced AI algorithms for accurate image segmentation and 3D reconstruction, the platform offers an in-depth anatomical view to aid in surgical planning and decision-making.
Interactive XR-Based Training Modules: Medical professionals and students can engage in immersive training scenarios, enhancing their surgical skills and reducing the learning curve associated with complex procedures.
Real-Time Surgical Guidance: AI-powered decision support systems provide real-time risk assessment and surgical navigation, improving accuracy and patient safety.
The project involves five interconnected work packages, including data collection, AI-based 3D modelling, XR training development, decision support system integration, and prototype testing. Clinical validation will be conducted with medical professionals to ensure accuracy, usability, and regulatory compliance.

This innovative platform is poised to transform intrathecal pain pacemaker surgery by enhancing surgical precision, safety, and educational outcomes, paving the way for next-generation medical training and surgical practices.

The consortium is urgently seeking partners to send the pre-proposal Application.
Advantages and Innovations
The project introduces groundbreaking innovations by developing an AI-powered XR platform that delivers detailed 3D visualization of intrathecal anatomy through advanced image segmentation and 3D reconstruction. It integrates interactive XR-based training modules, enabling immersive, hands-on surgical training for both professionals and students. Additionally, the platform offers real-time surgical guidance and AI-driven decision support, enhancing precision and patient safety.

These innovations provide significant advantages, including improved surgical accuracy, enhanced training outcomes, and reduced complications. The seamless integration of preoperative planning, intraoperative guidance, and risk assessment optimizes the entire surgical process, potentially lowering healthcare costs and setting new standards in intrathecal pain pacemaker surgery.
Stage of Development
  • Under development
Sustainable Development Goals
  • Goal 3: Good Health and Well-being
  • Goal 4: Quality Education
  • Goal 17: Partnerships to achieve the Goal
IPR status
  • No IPR applied

Partner Sought

Expected Role of a Partner
Data Collection and Preprocessing (Partner 1)
• Collection and anonymization of tomography data.
• Image segmentation, contrast enhancement, and preprocessing.
• Ethical approval process.
Decision Support and Guidance Systems (Partner 1)
• AI-powered tomography reporting and risk assessment.
• Patient tracking and success rate analysis.
• Development of real-time surgical guidance tools.
Type and Size of Partner
  • SME 11-49
  • SME 50 - 249
  • University
  • Big company
  • R&D Institution
  • SME <=10
Type of partnership
  • Research and development cooperation agreement

Call details

Framework program
  • Horizon Europe
Call title and identifier
ERA-NET NEURON JTC 2025
Coordinator required
No
Deadline for EoI
Deadline of the call

Dissemination

Technology keywords
  • 06005001 - Safety & systems
  • 06005003 - Health information management
  • 01005006 - Visualisation, Virtual Reality
  • 01003003 - Artificial Intelligence (AI)
Market keywords
  • 05007006 - Computer-aided diagnosis and therapy
Sector Groups Involved
  • Health
Targeted countries
  • Belgium
  • Croatia
  • Austria
  • Norway
  • Slovakia
  • Taiwan
  • United Kingdom
  • Israel
  • Lithuania
  • Germany
  • Latvia
  • Poland
  • Italy
  • Romania
  • Hungary
  • Ireland
  • France
  • Switzerland