[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"tuberculosis-active\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:tuberculosis-active":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":17,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":21,"conditions":22,"keywords":26,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":32,"lastUpdatePostDateStruct":33,"startDateStruct":36,"completionDateStruct":38,"leadSponsor":40,"locationsCount":43},"100640904","artificial-intelligence-driven-tuberculosis-landscape-analysis--stratification-research-100640904",false,"NCT07611695","Artificial Intelligence-driven Tuberculosis Landscape Analysis & Stratification Research","TB-ATLAS","Inclusion Criteria for Model Development Cohort:\n\n* Patient with clinically diagnosed or bacteriologically confirmed pulmonary tuberculosis (TB) who received TB treatment;\n* Initiation of TB treatment on or after January 1, 2021;\n* Complete key diagnosis and treatment data available in the electronic medical record system.\n\nInclusion Criteria for External Validation Cohort:\n\n* Patient with clinically diagnosed or bacteriologically confirmed pulmonary tuberculosis (TB) who is planning to start TB treatment;\n* Voluntary participation with signed informed consent form (for adults ≥18 years); parental \u002F guardian consent and co-signed informed consent form are required for minors aged ≤ 18 years.\n\nExclusion Criteria:\n\n* Co-morbidity confounding: the presence of other active, life-threatening disease (e.g. late-stage malignancy, non-HIV severe immunodeficiency) for which the expected survival or priority of treatment may substantially interfere with the attribution of TB treatment outcomes;\n* Extremely poor treatment adherence: documented evidence indicating that the patient either never initiated treatment or was permanently lost to follow-up within the early treatment period (\\\u003C2 weeks), precluding the collection of any valid outcome data.","ALL",{"count":18,"type":19},31600,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to establish and validate a comprehensive AI-driven clinical decision support system (AI-CDSS) in whole-chain management for pulmonary tuberculosis (TB) patients. The main question it aims to answer is:\n\nHow is the predictive performance of this system in terms of multiple key links during TB diagnosis and treatment? Can real-world benefits be derived from this system? This AI framework supports clinicians in making smarter decisions, ultimately improving cure rates and ensuring that every patient receives the most effective, personalized care possible.",[23,24,25],"Pulmonary Tuberculosis","Tuberculosis (TB)","Tuberculosis Active",[27,28,29,30],"tuberculosis","artificial intelligence","predictive model","clinical decision support system","NOT_YET_RECRUITING","2026-05-20",{"date":34,"type":35},"2026-05-28","ACTUAL",{"date":37,"type":19},"2026-06-01",{"date":39,"type":19},"2028-06-30",{"name":41,"class":42},"Huashan Hospital","OTHER",2]