[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100573979":3},{"organization":4,"armGroups":7,"interventions":24,"overallOfficials":12,"centralContacts":34,"locations":40,"responsibleParty":56,"collaborators":59,"id":73,"slug":74,"hasResults":75,"nctId":76,"briefTitle":77,"officialTitle":78,"acronym":12,"eligibilityCriteria":79,"healthyVolunteers":75,"sex":80,"minAge":81,"maxAge":12,"enrollmentInfo":82,"targetDuration":12,"studyType":85,"phases":86,"briefSummary":88,"conditions":89,"keywords":95,"overallStatus":99,"whyStopped":12,"lastUpdateSubmitDate":100,"lastUpdatePostDateStruct":101,"startDateStruct":104,"completionDateStruct":106,"leadSponsor":108,"locationsCount":109},{"fullName":5,"class":6},"Huazhong University of Science and Technology","OTHER",[8,13,19],{"label":9,"type":10,"description":11,"interventionNames":12},"Conventional diagnosis","NO_INTERVENTION","Endoscopists diagnose pancreatic solid lesions according to endoscopic ultrasound images and clinical data.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"Joint-AI assisted diagnosis","EXPERIMENTAL","Endoscopists diagnose pancreatic solid lesions based on endoscopic ultrasound images, clinical data, and predictions made by the Joint-AI model.",[18],"Diagnostic Test: The assistance of the Joint-AI model",{"label":20,"type":15,"description":21,"interventionNames":22},"Interpretable Joint-AI assisted diagnosis","Endoscopists diagnose pancreatic solid lesions based on endoscopic ultrasound images, clinical data, predictions given by the Joint-AI, and interpretability analysis results used to improve the transparency of the decision-making process of the Joint-AI model.",[23],"Diagnostic Test: The assistance of the interpretable Joint-AI model",[25,30],{"type":26,"name":27,"description":28,"armGroupLabels":29,"otherNames":12},"DIAGNOSTIC_TEST","The assistance of the Joint-AI model","Predictions given by the Joint-AI model will be provided to the endoscopists during their diagnosis",[14],{"type":26,"name":31,"description":32,"armGroupLabels":33,"otherNames":12},"The assistance of the interpretable Joint-AI model","Predictions given by the Joint-AI model and the results of the interpretability analysis will be provided to the endoscopists during their diagnosis",[20],[35],{"name":36,"role":37,"phone":38,"phoneExt":12,"email":39},"Bin Cheng","CONTACT","86-13986097542","b.cheng@tjh.tjmu.edu.cn",[41],{"facility":42,"status":12,"city":43,"state":44,"zip":45,"country":46,"countryCode":47,"cosmosGeoPoint":48,"geoPoint":53,"contacts":54},"Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology","Wuhan","Hubei","430030","China","CN",{"type":49,"coordinates":50},"Point",[51,52],114.26667,30.58333,{"lat":52,"lon":51},[55],{"name":36,"role":37,"phone":38,"phoneExt":12,"email":39},{"type":57,"investigatorFullName":36,"investigatorTitle":58,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"PRINCIPAL_INVESTIGATOR","Professor",[60,63,65,67,69,71],{"name":61,"class":62},"Beijing Union Hosptial","UNKNOWN",{"name":64,"class":62},"Affiliated Drum Tower Hospital of Nanjing University Medical School",{"name":66,"class":62},"Shanghai Longhua Hospital",{"name":68,"class":6},"Beijing Friendship Hospital",{"name":70,"class":6},"Qilu Hospital of Shandong University",{"name":72,"class":6},"Sir Run Run Shaw Hospital","100573979","validation-of-joint-ai-in-diagnosing-pancreatic-solid-lesions-100573979",false,"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","ALL","18 Years",{"count":83,"type":84},716,"ESTIMATED","INTERVENTIONAL",[87],"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.",[90,91,92,93,94],"Pancreatic Cancer","Pancreatitis","Pancreatic Neuroendocine Neoplasms (pNETs)","Autoimmune Pancreatitis","Solid Pseudopapillary Neoplasm of the Pancreas",[96,97,98],"pancreatic cancer","artificial intelligence","endoscopic ultrasound","NOT_YET_RECRUITING","2024-12-22",{"date":102,"type":103},"2024-12-31","ACTUAL",{"date":105,"type":84},"2025-01",{"date":107,"type":84},"2026-01",{"name":5,"class":6},1]