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.