[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100500132":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":29,"locations":38,"responsibleParty":56,"collaborators":18,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":18,"eligibilityCriteria":64,"healthyVolunteers":65,"sex":66,"minAge":67,"maxAge":68,"enrollmentInfo":69,"targetDuration":18,"studyType":72,"phases":73,"briefSummary":75,"conditions":76,"keywords":78,"overallStatus":40,"whyStopped":18,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":92},{"fullName":5,"class":6},"The Third Xiangya Hospital of Central South University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-assisted group","EXPERIMENTAL","Subjects will undergo EUS examination with the assistance of AI system.",[13],"Device: AI system",{"label":15,"type":16,"description":17,"interventionNames":18},"non-assisted group","NO_INTERVENTION","Subjects will undergo EUS examination without the assistance of AI system",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","AI system","Patients will undergo EUS examination with the assistance of AI system.",[9],[26],{"name":27,"affiliation":5,"role":28},"Xiaoyan Wang, Doctor","PRINCIPAL_INVESTIGATOR",[30,34],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},"CONTACT","+8613974889301","wxy20011@163.com",{"name":35,"role":31,"phone":36,"phoneExt":18,"email":37},"Shiqin Huang, MD","+8618308312098","sqhuang0213@163.com",[39],{"facility":5,"status":40,"city":41,"state":42,"zip":43,"country":44,"countryCode":45,"cosmosGeoPoint":46,"geoPoint":51,"contacts":52},"RECRUITING","Changsha","Hunan","410013","China","CN",{"type":47,"coordinates":48},"Point",[49,50],112.97087,28.19874,{"lat":50,"lon":49},[53,54],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"name":55,"role":31,"phone":36,"phoneExt":18,"email":37},"Shiqin Huang, Doctor",{"type":57,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR","100500132","clinical-research-on-a-novel-deep-learning-based-system-in-mediastinal-endoscopic-ultrasound-scanning-100500132",false,"NCT05792280","Clinical Research on a Novel Deep-learning Based System in Mediastinal Endoscopic Ultrasound Scanning","Clinical Research on Navigation and Quality Control System of Mediastinal Ultrasound Endoscopy Based on Deep Learning","Inclusion Criteria:\n\n* 1\\. Age ≥18 years old, \\\u003C80 years old 2.Patients who need endoscopic ultrasonography; 3. Agree to participate in this study and sign the informed consent form.\n\nExclusion Criteria:\n\n* Subjects who meet any of the following criteria cannot be selected for this trial:\n\nFirst. The patient's physical condition does not meet the requirements of conventional endoscopic ultrasonography:\n\n1. Poor physical condition, including hemoglobin ≤8.0g\u002Fdl, severe cardiopulmonary insufficiency, etc.\n2. Anesthesia assessment failed\n3. Pregnancy or breastfeeding\n4. In the acute stage of chemical and corrosive injury, it is very easy to cause perforation\n5. Recent acute coronary syndrome or clinically unstable ischemic heart attack\n6. Heart disease patients with right-to-left shunt, patients with severe pulmonary hypertension (pulmonary artery pressure\\> 90mmHg),patients with uncontrolled systemic hypertension and patients with adult respiratory distress syndrome.\n\nSecond. Disagree to participate in this study.\n\nThird. There are other problems that do not meet the requirements of this research or that affect the results of the research:\n\n1. Mediastinal lesions have previously undergone surgery or radiotherapy and chemotherapy;\n2. Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up.",true,"ALL","18 Years","80 Years",{"count":70,"type":71},180,"ESTIMATED","INTERVENTIONAL",[74],"NA","The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in mediastinal ultrasound endoscopic scanning. The main questions it aims to answer are as follows: 1.The comparison of the image recognition accuracy between the artificial intelligence system and the ultrasound endoscopist; 2. Whether the artificial intelligence system can improve the integrity and efficiency of the mediastinum scanning for the ultrasound endoscopist. Participants will undergo mediastinal EUS with or without the assistance of the artificial intelligence system.",[77],"Mediastinum Disease",[79,80,81,82],"EUS","AI","Quality Control","training","2025-03-10",{"date":85,"type":86},"2025-03-13","ACTUAL",{"date":88,"type":86},"2021-01-01",{"date":90,"type":71},"2025-04-10",{"name":5,"class":6},1]