CheXNet

Structured entry data for human tools, AI systems and machine clients.

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    "@type": "Thing",
    "identifier": "ENT-00000928",
    "name": "CheXNet",
    "alternateName": [],
    "additionalType": {
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        "type": "Research System",
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    "description": "CheXNet is a research system associated with Stanford University, classified in LXKeys.world as AI Research / Specialized System.",
    "creator": "Stanford ML Group",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000928&lang=en",
    "sameAs": "https://stanfordmlgroup.github.io/projects/chexnet/",
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        "classification": "AI Research / Specialized System",
        "organization": "Stanford University",
        "originContext": "Medical AI model",
        "firstPublicAppearance": "2017",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V Persistent"
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
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            "updated_utc": "2026-06-16T23:59:02+00:00",
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        "capabilities": [
            "Research evaluation or discovery",
            "Scientific or benchmark utility",
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            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
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        "tags": [
            "Stanford University",
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            {
                "date": "2017",
                "title": "Initial research publication or demonstration",
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                "url": "https://stanfordmlgroup.github.io/projects/chexnet/",
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