[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100566924":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":13,"centralContacts":18,"locations":23,"responsibleParty":39,"collaborators":7,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":7,"eligibilityCriteria":47,"healthyVolunteers":43,"sex":48,"minAge":49,"maxAge":7,"enrollmentInfo":50,"targetDuration":7,"studyType":53,"phases":7,"briefSummary":54,"conditions":55,"keywords":57,"overallStatus":63,"whyStopped":7,"lastUpdateSubmitDate":64,"lastUpdatePostDateStruct":65,"startDateStruct":68,"completionDateStruct":70,"leadSponsor":72,"locationsCount":73},{"fullName":5,"class":6},"Chinese Medical Association","NETWORK",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"OTHER","establish an artificial neural network model","to establish an artificial neural network model for pathogen diagnosis in ICU pneumonia",[14],{"name":15,"affiliation":16,"role":17},"Yan Wang, Master","Nanjing Drum Tower Hosptial","PRINCIPAL_INVESTIGATOR",[19],{"name":15,"role":20,"phone":21,"phoneExt":7,"email":22},"CONTACT","+86 18905150275","a_nengneng@163.com",[24],{"facility":25,"status":7,"city":26,"state":27,"zip":28,"country":29,"countryCode":30,"cosmosGeoPoint":31,"geoPoint":36,"contacts":37},"Nanjing Drum Tower Hospital","Nanjing","Jiangsu","210008","China","CN",{"type":32,"coordinates":33},"Point",[34,35],118.77778,32.06167,{"lat":35,"lon":34},[38],{"name":15,"role":20,"phone":21,"phoneExt":7,"email":22},{"type":40,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100566924","an-observational-clinical-study-on-the-construction-of-an-artificial-neural-network-model-for-icu-pneumonia-100566924",false,"NCT06661499","An Observational Clinical Study on the Construction of an Artificial Neural Network Model for ICU Pneumonia","An Observational Clinical Study on the Construction of an Artificial Neural Network Model for Rapid Intelligent Diagnosis of Microorganisms in ICU Pneumonia Based on Species-specific Rapid Detection of Pathogenic Bacteria","Inclusion Criteria:\n\n1. aged ≥18 years;\n2. agreed to obtain lower respiratory specimens for rapid testing of pathogenic bacteria;\n3. all were enrolled by an experienced physician who dynamically determined that the microorganisms were in a colonised or infected state;\n4. signed an informed consent form.\n\nExclusion Criteria:\n\n1. pregnant women;\n2. lactating women;\n3. patients who could not obtain lower respiratory specimens;","ALL","18 Years",{"count":51,"type":52},600,"ESTIMATED","OBSERVATIONAL","To achieve rapid, intelligent and accurate microbiological diagnosis and treatment for ICU pneumonia, an artificial neural network model for microbiological diagnosis is established, which depends on many clinical cases and machine deep learning from clinical experts' judgements according to species-specific rapid detection of pathogenic bacteria and other clinical parameter variables of patients.",[56],"Pneumonia",[58,59,60,61,62],"pneumonia","colonization","infection","artificial neural network model","intensive care unit","NOT_YET_RECRUITING","2024-10-24",{"date":66,"type":67},"2024-10-28","ACTUAL",{"date":69,"type":52},"2025-01",{"date":71,"type":52},"2027-12",{"name":5,"class":6},1]