{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:L3HXBXNQ6DXVG5QHEE46A7O3I3","short_pith_number":"pith:L3HXBXNQ","schema_version":"1.0","canonical_sha256":"5ecf70ddb0f0ef5376072139e07ddb46fe2a382dd202a85d7b3f274ad354ffd8","source":{"kind":"arxiv","id":"1906.01272","version":1},"attestation_state":"computed","paper":{"title":"Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Francis Carbonaro, Hans G. Lemij, Koenraad A. Vermeer, Nicolaas J. Reus, Nicolas Jaccard, Sameer Trikha, Thomas W. Rogers","submitted_at":"2019-06-04T08:40:03Z","abstract_excerpt":"Objectives: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthalmologists and optometrists.\n  Methods: A retrospective study evaluating the diagnostic performance of an AI software (Pegasus v1.0, Visulytix Ltd., London UK) and comparing it to that of 243 European ophthalmologists and 208 British optometrists, as determined in previous studies, for the detection of glaucomatous optic neuropathy from 94 scanned s"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1906.01272","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-04T08:40:03Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"52d558358ef5dcd3f61fcba45eb3cf215838ef9db01659188cb8830a8bf02a84","abstract_canon_sha256":"ea919981c1cdbf48940270c78d3a5857e24fc15d8ff78bee25a33ff2b11e98ed"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:17.220926Z","signature_b64":"TW/DV+21BNHjb/v3+3EzoQGueOFuUNkug6vWUUOp27m3neLYG03tc/aBMnv19XuH1BmjxDgobOFzE9HvhvF4DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ecf70ddb0f0ef5376072139e07ddb46fe2a382dd202a85d7b3f274ad354ffd8","last_reissued_at":"2026-05-17T23:44:17.220151Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:17.220151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Francis Carbonaro, Hans G. Lemij, Koenraad A. Vermeer, Nicolaas J. Reus, Nicolas Jaccard, Sameer Trikha, Thomas W. Rogers","submitted_at":"2019-06-04T08:40:03Z","abstract_excerpt":"Objectives: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthalmologists and optometrists.\n  Methods: A retrospective study evaluating the diagnostic performance of an AI software (Pegasus v1.0, Visulytix Ltd., London UK) and comparing it to that of 243 European ophthalmologists and 208 British optometrists, as determined in previous studies, for the detection of glaucomatous optic neuropathy from 94 scanned s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.01272","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.01272","created_at":"2026-05-17T23:44:17.220289+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.01272v1","created_at":"2026-05-17T23:44:17.220289+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.01272","created_at":"2026-05-17T23:44:17.220289+00:00"},{"alias_kind":"pith_short_12","alias_value":"L3HXBXNQ6DXV","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_16","alias_value":"L3HXBXNQ6DXVG5QH","created_at":"2026-05-18T12:33:21.387695+00:00"},{"alias_kind":"pith_short_8","alias_value":"L3HXBXNQ","created_at":"2026-05-18T12:33:21.387695+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3","json":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3.json","graph_json":"https://pith.science/api/pith-number/L3HXBXNQ6DXVG5QHEE46A7O3I3/graph.json","events_json":"https://pith.science/api/pith-number/L3HXBXNQ6DXVG5QHEE46A7O3I3/events.json","paper":"https://pith.science/paper/L3HXBXNQ"},"agent_actions":{"view_html":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3","download_json":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3.json","view_paper":"https://pith.science/paper/L3HXBXNQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.01272&json=true","fetch_graph":"https://pith.science/api/pith-number/L3HXBXNQ6DXVG5QHEE46A7O3I3/graph.json","fetch_events":"https://pith.science/api/pith-number/L3HXBXNQ6DXVG5QHEE46A7O3I3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3/action/storage_attestation","attest_author":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3/action/author_attestation","sign_citation":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3/action/citation_signature","submit_replication":"https://pith.science/pith/L3HXBXNQ6DXVG5QHEE46A7O3I3/action/replication_record"}},"created_at":"2026-05-17T23:44:17.220289+00:00","updated_at":"2026-05-17T23:44:17.220289+00:00"}