The startup develops an artificial intelligence-based platform that employs image processing and machine learning to assess and manage chronic wounds. This technology enables healthcare providers to monitor wound conditions, detect infections, and automate wound size measurements, improving patient outcomes and operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Assessing and managing chronic wounds often involves manual, time-consuming processes that can delay diagnosis, increase the risk of complications, and hinder effective treatment. Traditional methods may also lack the precision needed for accurate monitoring and personalized care.
Solution
KroniKare offers an AI-driven platform for the automatic assessment and management of chronic wounds. The system utilizes a portable multispectral scanner to capture wound data, which is then analyzed using AI algorithms trained on over 15 years of integrated chronic wound data. This enables healthcare practitioners to quickly scan, measure, and detect wound characteristics in approximately 30 seconds, generating a detailed report with insights for personalized treatment plans. The platform aims to improve diagnostic speed and accuracy, reduce complications, and facilitate continuity of care across different healthcare settings.
Target Audience
The primary target audience includes healthcare practitioners in hospitals, nursing homes, and home-care facilities, as well as personal care practitioners involved in chronic wound management.
Features
- Portable multispectral scanner for non-invasive wound assessment
- AI-powered analysis of wound characteristics based on 15 years of integrated data
- Automatic 3D wound measurement and tissue analysis
- Integrated dashboard for report generation and data visualization
- Cloud technology for data storage and continuous AI development
- Capability to capture wounds in UV, visible light, and thermal images
- Continuous learning AI server that automatically stores new information entered by nurses for special wound cases