Please describe your proposed solution
We are building a decentralized platform for Medial Imaging data. The core issue we are addressing is the limited availability of high-quality, diverse medical imaging data, particularly from underserved demographics. Current AI diagnostic models are typically built using data from wealthier populations, making them less effective for other regions with different healthcare needs. Additionally, the lack of secure, transparent, and scalable platforms to store and monetize medical data creates barriers to advancing AI-driven healthcare solutions.
Our Approach
We propose a blockchain-based marketplace that securely collects, annotates, and monetizes medical imaging data. This data will be used to train AI models that are better suited to specific demographics and health conditions. Blockchain is integral to our approach because it ensures data security, privacy, and transparency, while smart contracts enable automated rewards for contributors such as imaging centers, doctors, and annotators.
Our decision to create a marketplace allows for a scalable, self-sustaining solution where data providers are incentivized, and AI companies can purchase the data they need for developing targeted diagnostic tools. This approach ensures a continuous flow of diverse data, improving the quality of AI models over time.
Project Engagement
Our project will engage the following groups:
- Imaging Centers: These centers will provide raw medical imaging data and receive financial incentives for participation.
- Healthcare Professionals: Doctors and radiologists will annotate images, ensuring data quality, and will be compensated for their work.
- AI Companies: The primary buyers of the data, AI companies will use it to develop health condition prediction models tailored to specific demographics.
- Medical Experts and Researchers: They will be involved in improving the models' accuracy and ensuring the data's scientific relevance.
We will measure success through:
- Volume of Data: Tracking the quantity and diversity of imaging data collected.
- AI Model Accuracy: Monitoring improvements in AI diagnostics based on the data we provide.
- Transaction Metrics: Evaluating the number of smart contracts executed, reflecting the activity in data transactions.
- User Satisfaction: Gathering feedback from imaging centers, medical professionals, and AI companies to assess the platform's usability and effectiveness.
Unique Aspects of the Solution
What makes our solution unique is the use of blockchain technology to create a secure and transparent marketplace for medical imaging data. The marketplace incentivizes imaging centers and professionals to contribute high-quality data, which AI companies can purchase to develop more accurate and population-specific models. This system provides a continuous flow of diverse data, critical for improving AI-driven healthcare solutions.