Pixacare
Pixacare is dedicated to improving the care pathway for millions of patients suffering from chronic wounds through innovative digital solutions. The company develops AI-powered applications for secure management, analysis, and remote monitoring of wound healing, aiming to become the European leader in this field. It offers solutions like the Pixacare Application, WoundTrack I, and plans for WoundTrack II, with a focus on standardization, efficiency, and regulatory compliance, including CE marking and ISO 13485 certification. Pixacare actively participates in medical congresses and collaborates with numerous hospitals and healthcare providers across France and Europe. The company is ISO 13485 certified, ensuring quality management for medical devices, and its solutions are CE marked, certifying conformity with European regulations.
Industries
Nr. of Employees
small (1-50)
Pixacare
2 rue Marie Hamm, 67000 Strasbourg
Products
Medical photo management platform (web and mobile)
Web and mobile application that centralizes clinical photographs, provides secure certified hosting, automated patient/date/keyword indexing, in-app editing and anonymization, secure team messaging, video capture and configurable reporting for clinical workflows.
Calibration-assisted wound measurement tool
Image-analysis functionality that uses a placed calibration marker and semi-automatic contour delineation to compute wound surface area reproducibly for longitudinal monitoring and clinical studies.
AI-driven wound tissue analysis and complication detection
Machine-learning models trained to analyze wound images for tissue composition percentages and to flag potential complications, with clinical validation studies to support device classification and market access.
Disease-specific clinical module for dermatology follow-up
Software module providing tailored workflows, questionnaires and follow-up schedules for specific dermatology conditions to standardize monitoring and documentation.
Medical photo management platform (web and mobile)
Web and mobile application that centralizes clinical photographs, provides secure certified hosting, automated patient/date/keyword indexing, in-app editing and anonymization, secure team messaging, video capture and configurable reporting for clinical workflows.
Calibration-assisted wound measurement tool
Image-analysis functionality that uses a placed calibration marker and semi-automatic contour delineation to compute wound surface area reproducibly for longitudinal monitoring and clinical studies.
AI-driven wound tissue analysis and complication detection
Machine-learning models trained to analyze wound images for tissue composition percentages and to flag potential complications, with clinical validation studies to support device classification and market access.
Disease-specific clinical module for dermatology follow-up
Software module providing tailored workflows, questionnaires and follow-up schedules for specific dermatology conditions to standardize monitoring and documentation.
Services
Technical integration of image, questionnaire and metadata exchange with hospital information systems and third-party teleexpertise platforms; support for connector configuration and export workflows.
Onboarding, clinical staff training, protocol configuration and post-deployment support to operationalize remote-monitoring pathways and ensure user adoption.
Collaborative design and operational support for prospective clinical trials and medico-economic studies to validate AI algorithms, telemonitoring workflows and to support reimbursement submissions.
Publishing and maintaining mobile applications for clinical users across major mobile platforms and providing web-application access and updates.
Technical integration of image, questionnaire and metadata exchange with hospital information systems and third-party teleexpertise platforms; support for connector configuration and export workflows.
Onboarding, clinical staff training, protocol configuration and post-deployment support to operationalize remote-monitoring pathways and ensure user adoption.
Collaborative design and operational support for prospective clinical trials and medico-economic studies to validate AI algorithms, telemonitoring workflows and to support reimbursement submissions.
Publishing and maintaining mobile applications for clinical users across major mobile platforms and providing web-application access and updates.
Expertise Areas
- Medical image management and indexing
- Telemedicine and remote wound monitoring workflows
- AI-driven wound image analysis and computer vision
- Clinical trial design and medico-economic evaluation for digital health
Key Technologies
- Machine learning and computer vision for image analysis
- Image segmentation and calibrated area computation
- Unified mobile/web codebase frameworks
- Cloud-based secure health-data hosting
News & Updates
Le Pied Diabetique 2025
Upcoming event in Montpellier on October 2-3, 2025.
50Day 2024 Conference
Pixacare CEO Matis Ringdal presented the company's vision at the 50Day conference.
Santexpo, Diabetology, Plastic Surgery Congresses
Participation in major medical congresses in 2023 and planning for 2024.
Pixacare wins i-Lab 2021
Recognition for its AI algorithm ScarSpy for detecting post-operative wound complications.
Roadmap 2024
Planned major updates including mobile app overhaul, new features, and internationalization.
Le Pied Diabetique 2025
Upcoming event in Montpellier on October 2-3, 2025.
Le Pied Diabetique 2025
Upcoming event in Montpellier on October 2-3, 2025.
50Day 2024 Conference
Pixacare CEO Matis Ringdal presented the company's vision at the 50Day conference.
Santexpo, Diabetology, Plastic Surgery Congresses
Participation in major medical congresses in 2023 and planning for 2024.
Pixacare wins i-Lab 2021
Recognition for its AI algorithm ScarSpy for detecting post-operative wound complications.
Roadmap 2024
Planned major updates including mobile app overhaul, new features, and internationalization.
Le Pied Diabetique 2025
Upcoming event in Montpellier on October 2-3, 2025.