[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100633888":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":15,"locations":21,"responsibleParty":36,"collaborators":38,"id":62,"slug":63,"hasResults":64,"nctId":65,"briefTitle":66,"officialTitle":67,"acronym":68,"eligibilityCriteria":69,"healthyVolunteers":70,"sex":71,"minAge":72,"maxAge":73,"enrollmentInfo":74,"targetDuration":77,"studyType":78,"phases":10,"briefSummary":79,"conditions":80,"keywords":84,"overallStatus":91,"whyStopped":10,"lastUpdateSubmitDate":92,"lastUpdatePostDateStruct":93,"startDateStruct":96,"completionDateStruct":98,"leadSponsor":100,"locationsCount":101},{"fullName":5,"class":6},"The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Patients with head and neck malignancies",null,"Comprised patients with histopathologically confirmed head and neck malignant lesions, primarily including laryngeal and hypopharyngeal carcinomas.",{"label":13,"type":10,"description":14,"interventionNames":10},"Patients without head and neck malignancies","Consisted of patients absent of malignant findings, encompassing individuals with normal laryngeal anatomy and those diagnosed with benign vocal fold lesions (e.g., polyps, cysts, and nodules).",[16],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},"junyi Wang, master","CONTACT","+86 13309609232","songjiu3411@outlook.com",[22],{"facility":23,"status":10,"city":24,"state":25,"zip":10,"country":26,"countryCode":27,"cosmosGeoPoint":28,"geoPoint":33,"contacts":34},"Nanjing Drum Tower Hospital","Nanjing","Jiangsu","China","CN",{"type":29,"coordinates":30},"Point",[31,32],118.77778,32.06167,{"lat":32,"lon":31},[35],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},{"type":37,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[39,42,44,46,48,50,52,54,56,58,60],{"name":40,"class":41},"Taikang Xianlin Drum Tower Hospital","UNKNOWN",{"name":43,"class":6},"Zhongda Hospital",{"name":45,"class":6},"Affiliated Cixi Hospital of Wenzhou Medical University",{"name":47,"class":41},"Changzhou Fourth People's Hospital",{"name":49,"class":6},"Nanjing Tongren Hospital",{"name":51,"class":6},"Nanjing Children's Hospital",{"name":53,"class":6},"Gansu Provincial Maternal and Child Health Care Hospital",{"name":55,"class":41},"Shanghai Putuo District People's Hospital",{"name":57,"class":41},"Wuxi Huishan District People's Hospital",{"name":59,"class":41},"Fengyang County Hospital of Traditional Chinese Medicine",{"name":61,"class":41},"Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine","100633888","a-machine-learning-based-risk-prediction-model-for-head-and-neck-cancerous-lesions-100633888",false,"NCT07532538","A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions","A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions: A Multidimensional Feature Study Integrating Demographics and Clinical Symptomatology","ML-HNC-Risk","Inclusion Criteria:\n\nAge ≥ 18 years old. Patients with complete clinical data information and laryngoscopic images.\n\nExclusion Criteria:\n\nRefusal to sign the informed consent form. Incomplete clinical data. Known diagnosis of other head and neck malignancies (thyroid cancer, malignant parotid tumors, etc.",true,"ALL","18 Years","100 Years",{"count":75,"type":76},3000,"ESTIMATED","6 Months","OBSERVATIONAL","This study aims to develop and validate a clinical prediction model for the risk of head and neck cancerous lesions using deep learning combined with AI algorithms, based on multi-center clinical data.",[81,82,83],"Hypopharyngeal Cancer","Laryngeal Cancer","Head and Neck Cancer",[85,86,87,88,89,90],"Head and neck malignant lesions","Hypopharyngeal cancer","Laryngeal cancer","AI","machine learning","AI-assisted diagnosis","NOT_YET_RECRUITING","2026-04-12",{"date":94,"type":95},"2026-04-16","ACTUAL",{"date":97,"type":76},"2026-04-30",{"date":99,"type":76},"2030-11-30",{"name":5,"class":6},1]