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RADIANT X-Ray Triage & Evidence Assistant

RADIANT X-Ray Triage & Evidence Assistant

Streamlit

Created by team Zehra-coded on October 17, 2026

AMD Developer Cloud AMD ROCm LLM Gateway HuggingFace Hub Streamlit

Health and Wellbeing

> RADIANT is a multimodal chest X-ray review prototype. It runs a > vision model (DenseNet-121 trained on NIH ChestX-ray14) and a > deterministic report parser in parallel, compares their outputs > through a cross-modal verifier, and surfaces disagreements for > human review. It never picks a winner in a conflict. It assigns a > review priority, retrieves supporting evidence, generates an > explanation through AMD-hosted LLM endpoints (with a > deterministic fallback), and passes the output through two safety > gates. Every number in the project's evaluation comes from a real > execution; items that could not be measured are marked NOT RUN > with a reason. RADIANT is a research prototype, not a diagnostic > tool. All outputs require review by a licensed physician.

Category tags:

Assistant, Healthcare, ProjectFromScratch, Summarization

Github Presentation Demo

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Upcoming AI Hackathons
For Innovators & Creators

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testtinggg

good tingood tingood tingood tingood tingood tingood tingood tingood tingood tingood tin

LFG

Detonation Chamber

Run an untrusted npm/PyPI package, GitHub repo, or URL in a sealed, disposable Vultr sandbox. Watch what it does and get a verdict based on its actual behaviour. Every escape attempt is contained and recorded.

Builders Nepal

Containment Foreman - sandboxed agent runtime

A human-gated foreman that plans AI agent tasks, dispatches each step to a disposable, network-less Docker sandbox, and returns verifiable receipts with SHA-256 artifacts, resource caps and zero host access.

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Ghostfox Zero: Browser Agent

A sandboxed browser agent powered by our own Firefox engine. True agentic loop with vision verification, human approval gate, and MCP endpoint for AI agents.

autokeren

AgentOpsAIMLVULTR

LeakProof

Finds revenue leaks in billing exports without letting the data leak: model-written pandas runs in a throwaway gVisor sandbox on Vultr (no network, no secrets, hard limits), a second model checks every sentence, and each answer has a re-runnable receipt.

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AI app: RADIANT X-Ray Triage & Evidence Assistant for AMD Developer Hackathon: ACT III