> For the complete documentation index, see [llms.txt](https://dxai.gitbook.io/dxai-light-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dxai.gitbook.io/dxai-light-paper/implementation/roadmap.md).

# Roadmap

**Phase 1: Foundational Development**

✅Conduct initial research and feasibility study for AI-powered diagnostics. 

✅Identify key medical domains and datasets for training AI agents. 

✅Build the first prototype of NeurologistAI for CT and MRI diagnostics. Fine-tune AI models using curated datasets (e.g., SinoCT, ISIC). 

✅Launch OphthalmologistAI for fundus image analysis. 

✅Launch RadiologistAI for X-ray and CT-based diagnostics.

✅Launch DermatologistAI for skin lesion diagnostics. 

**Phase 2: AI Agent Expansion**

✅Launch GeneralistAI for multi-domain medical assessments. 

❌Launch NutritionistAI to provide dietary recommendations. 

✅Launch TherapistAI for mental health support. 

❌Launch DiabeticianAI for diabetes management.

❌Launch PathologistAI for histopathology analysis. Validate model performance metrics (sensitivity, specificity, and precision).

❌Implement V2s for NeurologistAI and OphthalmologistAI 

❌Validate model performance metrics (sensitivity, specificity, and precision).

**Phase 3: Blockchain Integration**

✅Select blockchain infrastructure for decentralized ecosystem and socials support (VIRTUALS). Ensure low-cost, scalable blockchain operations using Layer 2 solutions.

✅Implement a token-gated system that requires $DXAI for access to premium AI agents. 

❌Implement oracle SCs for pay-per-scan and subscription models. Integrate Web3 wallet support for seamless transactions. 

**Phase 4: Platform Development**

✅Design and develop the DXAI web3 platform for Diagnostic as a Service (DaaS).

❌Introduce DXAI to thousands of AI researchers using datamining from Scholar, Research Gate, Orcid and other venues.

❌Implement user-friendly dashboards for patients and healthcare providers. 

❌Integrate API access for B2B diagnostics solutions. 

❌V2 for DXAI.app

❌Management system for institutions

❌Mobile app

**Phase 5: Compliance and Testing**

❌Conduct an exploratory study on the usability of the framework with at least 100 physicians 

❌Align with medical standards such as HIPAA and FDA regulations. 

❌Conduct extensive clinical trials to validate model efficacy. 

❌Pass third-party audits for security and compliance.

**Phase 6: Marketing and Expansion**

✅Establish a social media presence on Telegram, X, and other platforms. 

❌Initiate targeted marketing campaigns highlighting AI performance. 

❌Secure partnerships with hospitals, clinics, and healthcare providers. 

❌Launch a referral program to incentivize adoption.

❌Launch a grant program for researchers wishing to optimize our proprietary AI models.

❌Expand the platform to underserved regions globally.

**Phase 7: Community and Collaboration**

❌Open the platform to AI researchers for custom model submissions. 

❌Establish a revenue-sharing model for top-performing AI models. 

❌Host community events to showcase new AI capabilities. 

❌Foster partnerships with academic institutions for R\&D. 

❌Roll out localization features for multi-language support.


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