MI
ENT-00002406 · Dataset

MIMIC-CXR

MIMIC-CXR is a dataset associated with MIT, classified in LXKeys.world as Scientific / Medical Dataset.

Level V PersistentActiveDocumented
Human record

Overview

MIMIC-CXR is a data or evaluation resource used in artificial intelligence research. It is associated with MIT and is documented as chest radiograph dataset.

Timeline

  1. 2019Initial dataset release

    MIMIC-CXR entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

Evaluation resource for AI systemsDataset or benchmark documentationMachine-learning task referenceSource-linked registry metadataRelationship graph compatibility

Known limitations

Coverage and licensing should be interpreted through the linked source record.Benchmark scores or dataset contents can evolve over time through external updates.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for MIMIC-CXR. Entity type: Dataset; classification: Scientific / Medical Dataset; creator/organization context: MIT Lab for Computational Physiology. Canonical source anchor: https://physionet.org/content/mimic-cxr/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Controlled tags

Medical AIDatasetImagingMedical Imaging Dataset
Relationship graph

MIMIC-CXR

Open in full graph
MIMIC-CXR
CreatorOutgoing
MIT Lab for Computational Physiology

MIT Lab for Computational Physiology is documented as creator, contributor or originating team for MIMIC-CXR.

Associated organizationOutgoing
MIT

MIT is the organization or institutional context associated with MIMIC-CXR.

ClassificationOutgoing
Medical Imaging Dataset

MIMIC-CXR is classified as Medical Imaging Dataset.

Machine readable layer

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

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    "@type": "Thing",
    "identifier": "ENT-00002406",
    "name": "MIMIC-CXR",
    "alternateName": [],
    "additionalType": {
        "category": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "MIMIC-CXR is a dataset associated with MIT, classified in LXKeys.world as Scientific / Medical Dataset.",
    "creator": "MIT Lab for Computational Physiology",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002406&lang=en",
    "sameAs": "https://physionet.org/content/mimic-cxr/",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002406",
        "kind": "Data and Evaluation",
        "type": "Dataset",
        "subtype": "",
        "classification": "Scientific / Medical Dataset",
        "organization": "MIT",
        "originContext": "AI data and evaluation infrastructure",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Evaluation resource for AI systems",
            "Dataset or benchmark documentation",
            "Machine-learning task reference",
            "Source-linked registry metadata",
            "Relationship graph compatibility"
        ],
        "limitations": [
            "Coverage and licensing should be interpreted through the linked source record.",
            "Benchmark scores or dataset contents can evolve over time through external updates."
        ],
        "tags": [
            "Medical AI",
            "Dataset",
            "Imaging",
            "Medical Imaging Dataset"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "Initial dataset release",
                "description": "MIMIC-CXR entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://physionet.org/content/mimic-cxr/",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "MIT Lab for Computational Physiology",
                "type": "Creator",
                "description": "MIT Lab for Computational Physiology is documented as creator, contributor or originating team for MIMIC-CXR.",
                "evidence_level": "documentary"
            },
            {
                "target": "MIT",
                "type": "Associated organization",
                "description": "MIT is the organization or institutional context associated with MIMIC-CXR.",
                "evidence_level": "documentary"
            },
            {
                "target": "Medical Imaging Dataset",
                "type": "Classification",
                "description": "MIMIC-CXR is classified as Medical Imaging Dataset.",
                "evidence_level": "documentary"
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        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://physionet.org/content/mimic-cxr/",
                "source_type": "Reference Source",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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