[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100647422":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":30,"locations":36,"responsibleParty":50,"collaborators":25,"id":54,"slug":55,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":25,"eligibilityCriteria":59,"healthyVolunteers":56,"sex":60,"minAge":61,"maxAge":25,"enrollmentInfo":62,"targetDuration":25,"studyType":65,"phases":66,"briefSummary":68,"conditions":69,"keywords":71,"overallStatus":76,"whyStopped":25,"lastUpdateSubmitDate":77,"lastUpdatePostDateStruct":78,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":86},{"fullName":5,"class":6},"Nanjing University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"GAI-assisted teaching group","EXPERIMENTAL","GAI-assisted teaching group: Students used various platform modules for self-directed learning under the instructor's guidance: (1) In the \"Case Interaction\" module, students interacted with three virtual cases by inputting natural language questions (e.g., \"Does the patient have edema?\", \"What is the patient's proteinuria level?\", \"What are the light microscopy results of the renal biopsy?\"). The platform automatically determines the question type and provides the corresponding information, while the visualized patient model on the right side simultaneously highlights the affected systems already identified, and the case information acquisition progress bar is updated dynamically; (2) When students encounter difficulties, they can invoke DeepSeek in real time for immediate answers through the \"AI Q\\&A\" module; (3) After completing case interactions, students proactively summarized the history characteristics, with the instructor providing supplementary input; (4) The instructor guided",[13],"Device: An iLN interactive teaching platform",{"label":15,"type":6,"description":16,"interventionNames":17},"Traditional teaching group","Traditional teaching group: Adopted the traditional PowerPoint (PPT) lecture mode. The instructor used uniformly prepared PPT courseware to sequentially lecture on the SLE overview, LN clinical manifestations, laboratory tests, pathological classification, diagnostic criteria, treatment plans, and prognosis evaluation. The courseware included static pathological and clinical manifestation images.",[18],"Other: PPT",[20,26],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"DEVICE","An iLN interactive teaching platform","An iLN interactive teaching platform for lupus nephritis based on the DeepSeek large language model and by integrating the latest authoritative textbooks, guidelines, and clinical pathology materials.",[9],null,{"type":6,"name":27,"description":28,"armGroupLabels":29,"otherNames":25},"PPT","Adopted the traditional PowerPoint (PPT) lecture mode. The instructor used uniformly prepared PPT courseware to sequentially lecture on the SLE overview, LN clinical manifestations, laboratory tests, pathological classification, diagnostic criteria, treatment plans, and prognosis evaluation. The courseware included static pathological and clinical manifestation images.",[15],[31],{"name":32,"role":33,"phone":34,"phoneExt":25,"email":35},"Hao Bao, Doctor.","CONTACT","86-15062213937","bhao@nju.edu.cn",[37],{"facility":38,"status":25,"city":39,"state":40,"zip":41,"country":42,"countryCode":43,"cosmosGeoPoint":44,"geoPoint":49,"contacts":25},"Nanjing university","Nanjing","Jiangsu","210016","China","CN",{"type":45,"coordinates":46},"Point",[47,48],118.77778,32.06167,{"lat":48,"lon":47},{"type":51,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"PRINCIPAL_INVESTIGATOR","Wang Ju'an","Principal Investigator","100647422","application-of-the-ai-platform-iln-based-on-deepseek-in-the-teaching-of-lupus-nephritis-100647422",false,"NCT07706998","Application of the AI Platform iLN Based on DeepSeek in the Teaching of Lupus Nephritis","Inclusion Criteria:\n\n* As a student majoring in clinical medicine\n* Volunteering to participate in the study\n\nExclusion Criteria:\n\n* Inability to understand, read, or communicate in Chinese\n* Failure to participate in any stage of the study (e.g. in-class education session, or post-test)\n* Requesting withdrawal from the study","ALL","18 Years",{"count":63,"type":64},50,"ESTIMATED","INTERVENTIONAL",[67],"NA","Aim:\n\nTo evaluate the application effect of the teaching platform iLN in the teaching of lupus nephritis, aiming to provide practical experience and evidence-based support for the implementation of generative AI technology in professional medical education.\n\nMethod:\n\nBased on the DeepSeek large language model, the investigators developed \"iLN\" - an interactive teaching platform for lupus nephritis. This platform integrates the latest authoritative textbooks, clinical guidelines, pathological atlases, and real clinical cases, and includes seven core modules, such as \"case interaction\", \"knowledge teaching\", and \"AI question answering\". The investigators conducted a randomized controlled trial (RCT) on 50 fourth-year undergraduate students from Nanjing University School of Medicine to evaluate the effectiveness of the iLN platform compared to traditional teaching methods. The teaching effect was evaluated through objective test scores and questionnaires about student satisfaction and platform usability.",[70],"Learning",[72,73,74,75],"Generative artificial intelligence","DeepSeek","Lupus nephritis","Medical education","NOT_YET_RECRUITING","2026-07-15",{"date":79,"type":80},"2026-07-16","ACTUAL",{"date":82,"type":64},"2026-07-01",{"date":84,"type":64},"2026-12-31",{"name":5,"class":6},1]