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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