[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"autoimmune-pancreatitis\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:autoimmune-pancreatitis":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,51],{"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":29,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":40,"lastUpdatePostDateStruct":41,"startDateStruct":44,"completionDateStruct":46,"leadSponsor":48,"locationsCount":5},"100634219","validation-of-the-odesa-criteria-2026-for-autoimmune-pancreatitis-100634219",false,"NCT07536841","Validation of the Odesa Criteria 2026 for Autoimmune Pancreatitis","Validation of the Odesa Criteria 2026 (OC26) for the Diagnosis of Autoimmune Pancreatitis","ОС26","Inclusion Criteria:\n\n* Adults (≥18 years) undergoing evaluation for suspected autoimmune pancreatitis.\n* Availability of clinical, serological, imaging, and\u002For histological data required for OC26 scoring.\n* Ability to provide informed consent (for prospective participants).\n\nExclusion Criteria:\n\n* Confirmed alternative diagnosis explaining pancreatic findings (e.g., pancreatic cancer, acute pancreatitis of other etiology).\n* Incomplete diagnostic data preventing OC26 scoring.\n* Prior pancreatic surgery altering diagnostic interpretation.","ALL","18 Years",{"count":20,"type":21},82,"ESTIMATED","OBSERVATIONAL","This ambispective observational study aims to validate the Odesa Criteria 2026 (OC26), a flexible domain-based point scoring system for diagnosing autoimmune pancreatitis. The study evaluates diagnostic accuracy and reproducibility of OC26 across clinical, serological, morphological, and histological domains.",[25,26,27,28],"Autoimmune Pancreatitis","IgG4-Related Diseases","Pancreatic Cancer","Chronic Pancreatitis",[30,31,32,33,34,35,36,37,38],"AIP","IgG4","Autoimmune pancreatitis diagnosis","Pancreatic imaging","Endoscopic ultrasound","Serum protein fractions","IgG6\u002FIgG8 ratio","Odesa Criteria 2026 (OC26)","EUS Doppler","RECRUITING","2026-05-23",{"date":42,"type":43},"2026-05-28","ACTUAL",{"date":45,"type":43},"2026-05-01",{"date":47,"type":21},"2026-12-01",{"name":49,"class":50},"Military Medical Clinical Center of the Southern Region, Ukraine","OTHER",{"id":52,"slug":53,"hasResults":11,"nctId":54,"briefTitle":55,"officialTitle":56,"acronym":4,"eligibilityCriteria":57,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":58,"targetDuration":4,"studyType":60,"phases":61,"briefSummary":63,"conditions":64,"keywords":68,"overallStatus":72,"whyStopped":4,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":82},"100573979","validation-of-joint-ai-in-diagnosing-pancreatic-solid-lesions-100573979","NCT06753318","Validation of Joint-AI in Diagnosing Pancreatic Solid Lesions","Validation of a Multimodal Artificial Intelligence Model in in Diagnosing Pancreatic Solid Lesions: a Prospective, Multicenter, Randomized, Controlled Trial","Inclusion Criteria:\n\n* Imaging examinations (MRI, CT, B-ultrasound) show a solid mass in the pancreas, which requires endoscopic ultrasound guided-fine needle aspiration\u002Fbiopsy (EUS-FNA\u002FB) to clarify the nature of the lesion in patients.\n* Written consent provided\n\nExclusion Criteria:\n\n* Age under 18 years old",{"count":59,"type":21},716,"INTERVENTIONAL",[62],"NA","This clinical trial aims to learn if a multimodal artificial intelligence (AI) model can enhance the diagnosis of pancreatic solid lesions. The main questions it aims to answer are:\n\n1. Does the AI model enhance the diagnostic performance of endoscopists in diagnosing pancreatic solid lesions?\n2. Does the addition of interpretability analysis further improve the diagnostic performance of the assisted endoscopists? Researchers will compare the diagnostic performance of endoscopists with or without the assistance of the AI model.\n\nParticipants will:\n\n1. Their clinical data will be prospectively collected.\n2. They will be randomized to the AI-assist group and the conventional diagnosis group.",[27,65,66,25,67],"Pancreatitis","Pancreatic Neuroendocine Neoplasms (pNETs)","Solid Pseudopapillary Neoplasm of the Pancreas",[69,70,71],"pancreatic cancer","artificial intelligence","endoscopic ultrasound","NOT_YET_RECRUITING","2024-12-22",{"date":75,"type":43},"2024-12-31",{"date":77,"type":21},"2025-01",{"date":79,"type":21},"2026-01",{"name":81,"class":50},"Huazhong University of Science and Technology",1]