> For the complete documentation index, see [llms.txt](https://docs.ethringai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ethringai.com/abstract.md).

# 📗 Abstract

EthRing AI is the world's first AI-driven health data resource collaboration platform based on a Decentralized Physical Infrastructure Network (DePIN). By deeply integrating wearable devices, blockchain technology, and medical-grade data processing, it builds a user-sovereign health data ecosystem. Centered on the core concept of "data as health assets," the project enables secure collection, intelligent analysis, and value realization of health data, addressing the challenges of data silos, privacy breaches, and lack of incentives in traditional health management. Through zero-knowledge proofs (ZKP), a dual-token economic model, and modular hardware design, EthRing AI provides full-lifecycle health management for individual users and compliant data services for B-end clients such as medical institutions, insurance companies, and research organizations, reshaping the value distribution system of the digital health industry.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ethringai.com/abstract.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.