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Trust the Data .
Transform the Future.

X-LRAI transforms medical imaging into blockchain-verified assets - connecting hospitals, AI, and the global research ecosystem.

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RWA-Structured
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Blockchain- Verified
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About X-LRAI

X-Ray × Ledger × Research

Redefining Medical Intelligence with Blockchain

X-LRAI is an AI-driven medical RWA platform that transforms X-ray imaging data into secure, tokenized, and research-ready digital assets. Through blockchain verification and privacy-preserving encryption, each image is registered as a unique X-LR Token — a verifiable, encrypted twin of its real-world data.

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Key Features of X-LRAI

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Privacy-Protected

X-LRAI is built on a foundation of medical-grade privacy.

 

Every imaging file — whether X-ray, CT, or MRI — is anonymized at source and secured using zero-knowledge encryption (ZK-Privacy Protocol) before tokenization.

 

This ensures that no personal or identifying data ever leaves the hospital’s secure environment, while still allowing the image’s analytical value to be used in AI and research.

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Blockchain-Verified

Every image token on X-LRAI is registered, timestamped, and verified on a public, EVM-compatible blockchain, creating an immutable record of origin, ownership, and access.

 

Smart contracts govern all licensing, research usage, and value distribution — ensuring transparency and traceability across the entire ecosystem.

 

For hospitals and researchers alike, this transforms trust from assumption into verifiable proof.

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RWA-Structured

X-LRAI bridges the digital and physical worlds through a Real-World Asset (RWA) framework.

 

Each verified X-ray image is not just data — it becomes a tokenized medical asset that carries measurable, auditable value.

 

This structure allows imaging data to be integrated into decentralized markets, scientific collaborations, and AI-driven valuation models while staying fully compliant with healthcare regulations.

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Architecture

X-LRAI operates through a triple-layer architecture to ensure every medical image — from acquisition to research —

remains verifiable, secure, and valuable.

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Three Feature Cards:

RWA Layer:

Medical images are anonymized, hashed, and tokenized as verified digital assets.

AI & Research Layer:

Authorized institutions access de-identified datasets for predictive modeling and training.

Blockchain Ledger Layer:

Smart contracts govern access, royalties, and cross-institutional collaboration.

Token Model
X-LR Tokenomics

Each verified medical image becomes an X-LR Token, representing a secure and traceable unit of data value.

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Hospitals upload anonymized data

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Rewards distributed

back to hospitals

Researchers license datasets

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X-LR burn-and-reissue maintains deflationary balance.

Data tokenized

into X-LR

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