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TBGuard Scanner

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TBGuard Scanner

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GRIND Oct. 24, 2025
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Challenge: Safety and ethics

Industries

Health and wellnessSafety and ethicsSustainability & Environment

Technologies

Blockchain & infrastructureComputer visionData science & analytics

Tags

AIDF rules

Description

TBGuard uses AI-enhanced imaging for low-cost, rapid TB detection and blockchain for ethical data storage. It identifies pulmonary TB from X-rays or mobile scans within minutes, encrypts patient results, and anonymizes records to prevent stigma or misuse. Designed for rural health centers to strengthen early detection and response.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

Tuberculosis remains one of Africa’s deadliest infectious diseases. Early detection is hindered by weak diagnostic systems, stigma, and lack of ethical patient data protection. Unverified scans lead to late interventions and misdiagnosis. There’s an urgent need for accurate, privacy-compliant TB screening solutions.

Proposed Solutions

AI models trained on verified X-ray datasets classify TB with confidence scores. Results are hashed and stored via decentralized identity (DID) smart contracts for auditability. TBGuard integrates seamlessly with local EMRs and supports QR-based verification for public-health reporting without exposing patient identity.

Work with Nigeria’s Health Ministry and WHO-affiliated labs to roll out TBGuard in community clinics. Provide portable scanners and staff training.

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