API

Key features

  • Speed: Reduces the time needed for diagnostics from hours to seconds.

  • Accessibility: Makes cutting-edge AI diagnostics available globally, including in underserved regions.

  • Collaboration: Enables researchers, developers, and institutions to build and innovate on top of the DXAI ecosystem.

  • Transparency: Blockchain-backed transactions ensure fair usage and clear billing for all users.

Benefits

  1. API Key Registration

    • Developers must register on the DXAI platform to receive an API key linked to their $DXAI wallet.

  2. Comprehensive Documentation

    • Detailed guides, sample code, and SDKs will be provided for easy integration in various programming languages (e.g., Python, JavaScript).

  3. Sandbox Environment

    • A free sandbox environment will allow developers to test the API with limited functionality before committing to paid plans.

Developer Onboarding

  1. Pay-Per-Request

    • Each API request (e.g., per image or text analysis) is billed in $DXAI tokens.

    • Example: 1 image analysis = $1 in $DXAI tokens.

  2. Subscription Plans

    • Monthly or yearly subscriptions provide a set number of API requests, with higher tiers unlocking additional features such as faster processing and custom model integrations.

  3. Enterprise Plans

    • Custom pricing for high-volume users, such as hospitals and large research institutions, with support for batch processing and dedicated infrastructure.

The API will operate on a flexible, token-based pricing structure powered by $DXAI:

Pricing Model

  1. Hospital Systems Integration

    • Hospitals can integrate the DXAI API into their PACS (Picture Archiving and Communication Systems) for seamless diagnostic support.

    • Enables real-time triage of imaging data, reducing the workload on radiologists and improving patient outcomes.

  2. Telemedicine Platforms

    • API integration allows telemedicine providers to offer advanced diagnostics remotely, enhancing care for underserved or remote regions.

  3. Research and Development

    • Researchers can use the API to test hypotheses, analyze datasets, and validate AI models with domain-specific metrics.

  4. Insurance Providers

    • Automates claims processing by analyzing diagnostic reports and ensuring accuracy in billing and approvals.

Proposed end points

  1. /diagnose/image

    • Description: Upload medical images for analysis.

    • Input: Image files (e.g., CT scans, MRIs, X-rays).

    • Output: JSON response with diagnostic insights, probability scores, and optional annotated images.

  2. /diagnose/text

    • Description: Submit clinical notes or diagnostic reports for analysis.

    • Input: Text data (e.g., symptoms, lab results, medical history).

    • Output: Summarized insights, potential diagnoses, and recommendations.

  3. /model/score

    • Description: For AI researchers, upload and evaluate custom-trained models.

    • Input: Model parameters, training datasets, and validation data.

    • Output: Performance metrics (e.g., sensitivity, specificity) and ranking within the DXAI ecosystem.

  4. /subscription/status

    • Description: Check the status of a user’s subscription or token balance.

    • Input: User ID or wallet address.

    • Output: Subscription tier, token balance, and usage statistics.

  5. /report/history

    • Description: Retrieve past analyses and reports for a specific user or session.

    • Input: User ID or session ID.

    • Output: List of processed data with timestamps.

Selling points

  1. Comprehensive Diagnostics

    • The API grants access to a wide range of DXAI agents, each specialized in domains like neurology, ophthalmology, radiology, and more.

    • Supports the analysis of medical imagery (e.g., CT scans, X-rays, fundus images) and clinical data (e.g., text-based reports).

  2. Real-Time Analysis

    • Process medical data and retrieve diagnostic insights in real-time, enabling faster decision-making and streamlined workflows.

  3. Customizable Outputs

    • Flexible configurations allow developers to request outputs in formats tailored to their needs, such as probability scores, annotated images, or plain-text reports.

  4. Secure and Compliant

    • Designed to comply with healthcare regulations (e.g., HIPAA, GDPR), ensuring secure handling of sensitive medical data.

    • All data processed through the API is anonymized and deleted post-analysis.

  5. Scalable Infrastructure

    • Handles high-volume requests, making it ideal for hospitals, research labs, and large-scale healthcare providers.

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