Structured entry data for human tools, AI systems and machine clients.
{
"@context": [
"https://schema.org",
{
"lxw": "https://lxkeys.world/schema/"
}
],
"@type": "Thing",
"identifier": "ENT-00001479",
"name": "Segment Anything in Medical Images",
"alternateName": [],
"additionalType": {
"category": "Models",
"type": "AI Model",
"subtype": "",
"lxkeysEntity": false
},
"description": "Segment Anything in Medical Images is a AI model associated with SAM-Med authors, classified in LXKeys.world as Scientific / Biomedical Model.",
"creator": "SAM-Med authors",
"url": "https://lxkeys.world/entry.php?id=ENT-00001479&lang=en",
"sameAs": "https://github.com/bowang-lab/MedSAM",
"image": "",
"lxkeysWorld": {
"worldId": "ENT-00001479",
"kind": "Models",
"type": "AI Model",
"subtype": "",
"classification": "Scientific / Biomedical Model",
"organization": "SAM-Med authors",
"originContext": "AI model, architecture and research record",
"firstPublicAppearance": "2023",
"currentStatus": "Active",
"documentationStatus": "Documented",
"documentationIndex": {
"total": 74,
"documentation": 25,
"evidence": 13,
"structure": 25,
"relationships": 11,
"level": "Level IV Connected"
},
"lxCalendarium": {
"start_date_utc": "2023-04-01",
"created_utc": "2026-06-16T23:59:14+00:00",
"created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
"updated_utc": "2026-06-16T23:59:14+00:00",
"updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
},
"facts": [],
"capabilities": [
"Documented AI capability",
"Research or product source anchor",
"Model or system lineage",
"Relationship mapping"
],
"limitations": [
"Capabilities depend on version, training data, deployment configuration and evaluation setting.",
"The record documents public identity and source context rather than private implementation details."
],
"tags": [
"Foundation Model",
"Documented Entity",
"Contemporary",
"Batch 03 Candidate"
],
"timeline": [
{
"date": "2023",
"title": "Initial model publication or release",
"description": "Segment Anything in Medical Images entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
"source_url": "https://github.com/bowang-lab/MedSAM",
"verification_status": "source_backed_curated_baseline"
}
],
"relationships": [
{
"target": "SAM-Med authors",
"type": "Created or maintained by",
"description": "Segment Anything in Medical Images is associated with SAM-Med authors.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "Segment Anything in Medical Images public reference",
"url": "https://github.com/bowang-lab/MedSAM",
"source_type": "Official or Research Source",
"verification_status": "verified",
"authority": "TRUSTED_PRIMARY",
"role": "code_repository",
"update_enabled": false,
"authority_basis": "curated-corpus-refresh-2026-09-08"
}
],
"canonical": [],
"imageMeta": []
}
}