[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100634938":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":28,"centralContacts":32,"locations":41,"responsibleParty":65,"collaborators":10,"id":67,"slug":68,"hasResults":69,"nctId":70,"briefTitle":71,"officialTitle":72,"acronym":73,"eligibilityCriteria":74,"healthyVolunteers":69,"sex":75,"minAge":76,"maxAge":10,"enrollmentInfo":77,"targetDuration":10,"studyType":80,"phases":10,"briefSummary":81,"conditions":82,"keywords":85,"overallStatus":43,"whyStopped":10,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":93,"completionDateStruct":95,"leadSponsor":97,"locationsCount":98},{"fullName":5,"class":6},"Grand Hôpital de Charleroi","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Retrospective cohort",null,"A retrospective cohort from 2019 to 2024 comprising 350 lymphoma patients who were monitored on an empirical basis.",[13],"Other: Retrospective Group",{"label":15,"type":10,"description":16,"interventionNames":17},"Prospective cohort","A prospective cohort study involving up to 210 consecutive patients, starting in November 2025, with the aim of developing a decision-support tool using machine learning.",[18],"Other: Prospective Group",[20,24],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"Retrospective Group","For the retrospective group of 20 patients.",[9],{"type":6,"name":25,"description":26,"armGroupLabels":27,"otherNames":10},"Prospective Group","Follow-up of the patients for the prospective group",[15],[29],{"name":30,"affiliation":5,"role":31},"Marie Detrait, MD, PhD","PRINCIPAL_INVESTIGATOR",[33,37],{"name":30,"role":34,"phone":35,"phoneExt":10,"email":36},"CONTACT","0032 60 11 20 08","marie.detrait@ghdc.be",{"name":38,"role":34,"phone":39,"phoneExt":10,"email":40},"Aline Gillain, MedSciences","0032 60 11 00 89","aline.gillain@ghdc.be",[42],{"facility":5,"status":43,"city":44,"state":45,"zip":46,"country":47,"countryCode":48,"cosmosGeoPoint":49,"geoPoint":54,"contacts":55},"RECRUITING","Charleroi","Hainaut","6060","Belgium","BE",{"type":50,"coordinates":51},"Point",[52,53],4.44448,50.41136,{"lat":53,"lon":52},[56,57,59,61,62],{"name":30,"role":34,"phone":35,"phoneExt":10,"email":36},{"name":58,"role":34,"phone":39,"phoneExt":10,"email":40},"Marie Detrait, MedSC",{"name":60,"role":31,"phone":10,"phoneExt":10,"email":10},"Delphine Pranger, MD",{"name":30,"role":31,"phone":10,"phoneExt":10,"email":10},{"name":63,"role":64,"phone":10,"phoneExt":10,"email":10},"Stéphanie De Prophetis, Nurse","SUB_INVESTIGATOR",{"type":66,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100634938","ai-based-predictive-and-interventional-system-for-early-detection-of-non-compliance-risks-with-oral-therapies-in-lymphoma-patients-100634938",false,"NCT07546188","AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients.","AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients, Integrating the Complete Care Pathway and an Interoperable Clinical Interface With Algorithms Paired With Explainability Tools.","LNH-AI-Tools","Inclusion Criteria:\n\n* All patients aged 18 and over who are treated in the Haematology Department at the Grand Hôpital de Charleroi from November 2025 onwards\n* Treated for a lymphoma, Non Hodgkin\n* Capable of giving informed consent\n\nExclusion Criteria:\n\n* All other patients who did not meet the eligibility criteria","ALL","18 Years",{"count":78,"type":79},210,"ESTIMATED","OBSERVATIONAL","This research forms part of a continuous quality improvement initiative. It aims to assess patient compliance of oral therapies by artificial intelligence. It could overcome the limitations of current practices and enhance the responsiveness and accuracy of clinical interventions.",[83,84],"Lymphoma, Non-Hodgkin","Care Coordination",[86,87,88],"Artificial intelligence","Non-Hodgkin lymphoma","Care pathway","2026-04-20",{"date":91,"type":92},"2026-04-22","ACTUAL",{"date":94,"type":92},"2026-02-15",{"date":96,"type":79},"2029-02-15",{"name":5,"class":6},1]