[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"non-st-segment-elevation-myocardial-infarction-nstemi\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:non-st-segment-elevation-myocardial-infarction-nstemi":41},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":4},"100627499","a-privacy-preserving-ocr-llm-system-for-coronary-syndrome-subtyping-from-admission-hpi-multicenter-validation-in-china-and-the-us-100627499",false,"NCT07449429","A Privacy-Preserving OCR-LLM System for Coronary Syndrome Subtyping From Admission HPI: Multicenter Validation in China and the US","Development and Multicenter Validation of a Privacy-Preserving OCR-LLM Pipeline for Four-Subtype Coronary Syndrome Classification Using Admission HPI Across Heterogeneous EHR Systems","OCR-LLM-CHD","Inclusion Criteria:Hospital encounters with admission HPI documenting sym\n\n2a4afaef-9dc1-47fc-874f-9dffaf7…\n\nevant to coronary syndrome subtyping.\n\nCases with sufficient documentation to assign one of four target subtypes (STEMI, NSTEMI, UA, CCS) by adjudication.\n\n\\-\n\nExclusion Criteria: Unclear subtype or incomplete\u002Funcertain time information preventing gold standard assignment.\n\nNon-CHD primary reason for admission after screening (for MIMIC-IV cohort).\n\n\\-","ALL","18 Years",{"count":20,"type":21},10,"ESTIMATED","OBSERVATIONAL","This study develops and validates a privacy-preserving OCR-LLM pipeline that converts admission history of present illness (HPI) records into structured coronary syndrome subtypes (STEMI, NSTEMI, unstable angina, and chronic coronary syndrome). The system first extracts text from de-identified HPI images using locally deployed OCR, then applies large language models with a fixed diagnostic prompt to generate subtype classification and evidence. Performance is evaluated in an internal validation cohort and multiple external datasets covering heterogeneous EHR templates, emergency department cases, and an English dataset from MIMIC-IV. A clinician usability study assesses changes in diagnostic accuracy and time with and without tool assistance.",[25,26,27,28],"Coronary Artery Disease (CAD) (E.G., Angina, Myocardial Infarction, and Atherosclerotic Heart Disease (ASHD))","Acute Coronary Syndromes","ST-segment Elevation Myocardial Infarction (STEMI)","Non-ST-Segment Elevation Myocardial Infarction (NSTEMI)","NOT_YET_RECRUITING","2026-02-27",{"date":32,"type":33},"2026-03-04","ACTUAL",{"date":35,"type":21},"2026-02-28",{"date":37,"type":21},"2026-03-08",{"name":39,"class":40},"China National Center for Cardiovascular Diseases","OTHER_GOV","Non ST Segment Elevation Myocardial Infarction (NSTEMI)"]