AI Medical
CtrlK
  • 0. Abstract
  • 1. Project Overview
    • 1.1. Overview
    • 1.2. Market Sore Spots
    • 1.3. Solution
  • 2. Ecology
    • 2.1. Business Logic
    • 2.2. Personal NFT
      • 2.2.1. Data Sources
      • 2.2.2. Security
      • 2.2.3. Extractor
    • 2.3. Data Exchange
    • 2.4. AI Doctor
  • 3. Info Mining
  • 3.1. Core Products of Info Mining
  • 3.2. Core Patents & Key Technologies of Info Mining
  • 4. Application Scenarios
  • 5. Technical Characteristics of AI MEDICAL
    • 5.1. Blockchain
    • 5.2. Security
    • 5.3. AI Doctor
  • 6. Overview of System Architecture
    • 6.1. User Service Layer
    • 6.2. Development and Service Layer
    • 6.3. AI Service Layer
    • 6.4. Blockchain Service Layer
  • 7. Business Model Architecture
    • 7.1 Maximizing Economic Interests
    • 7.2. Medical Institutions, R&D Institutions, and Enterprises
    • 7.3. AI Model Providers
    • 7.4. Government Medical Administration
  • 8. Distribution Plan
  • 9. Use of funds
  • 10. Risk Description
  • 11. Disclaimer
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  1. 6. Overview of System Architecture

6.3. AI Service Layer

6.3.1. Diagnostic Model

•AI providers use DL-deep learning technology to model such tasks as categorization, regression, and segmentation for a certain magnitude of data samples.

• As the nerve center of the AI MEDICAL network, the diagnostic model is stored on the blockchain and has the ability to operate independently.

6.3.2. AI-API Model

The AI MEDICAL network provides support for the AI-API access, allowing AI providers to operate the diagnostic model off the chain.

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Last updated 1 year ago