C
ENT-00000928 · Research System

CheXNet

CheXNet is a documented research system associated with Stanford University.

Level V — PersistentActiveDocumented
Human readable record

Overview

CheXNet is documented as a research system, benchmark, dataset or scientific AI record associated with Stanford University. It is relevant for deep learning model for chest X-ray interpretation research. The record helps situate evaluation, discovery, training evidence or scientific capability in the registry graph.

Timeline

  1. 2017CheXNet public reference

    CheXNet is publicly documented in relation to Stanford University.

Capabilities

Research evaluation or discoveryScientific or benchmark utilityStructured evidence generationModel or system analysis

Known limitations

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Technical and registry detail

Technical description

Structured record for CheXNet. The technical layer identifies entity type Research System, organization Stanford University, source anchor https://stanfordmlgroup.github.io/projects/chexnet/, capability fields, limitation fields, timeline event, source records, tags (Stanford University, Research System, Documented AI) and graph relationships for machine-readable registry integration.

Controlled tags

Stanford UniversityResearch SystemDocumented AIchest
Relationship graph
CheXNet
Associated OrganizationStanford University

Stanford University is the organization or ecosystem associated with CheXNet.

Creator or DeveloperStanford ML Group

Stanford ML Group is identified as a creator, developer or originating actor for CheXNet.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00000928",
    "name": "CheXNet",
    "alternateName": [],
    "additionalType": "Research System",
    "description": "CheXNet is a documented research system associated with Stanford University.",
    "creator": "Stanford ML Group",
    "url": "entity.php?id=ENT-00000928",
    "sameAs": "https://stanfordmlgroup.github.io/projects/chexnet/",
    "lxkeysWorld": {
        "classification": "chest X-ray model",
        "organization": "Stanford University",
        "originContext": "Medical AI model",
        "firstPublicAppearance": "2017",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:02+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Research evaluation or discovery",
            "Scientific or benchmark utility",
            "Structured evidence generation",
            "Model or system analysis"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "Stanford University",
            "Research System",
            "Documented AI",
            "chest"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "CheXNet public reference",
                "description": "CheXNet is publicly documented in relation to Stanford University."
            }
        ],
        "relationships": [
            {
                "target": "Stanford University",
                "type": "Associated Organization",
                "description": "Stanford University is the organization or ecosystem associated with CheXNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "Stanford ML Group",
                "type": "Creator or Developer",
                "description": "Stanford ML Group is identified as a creator, developer or originating actor for CheXNet.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "CheXNet official reference",
                "url": "https://stanfordmlgroup.github.io/projects/chexnet/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.