[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100617000":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":24,"locations":10,"responsibleParty":34,"collaborators":10,"id":37,"slug":38,"hasResults":39,"nctId":40,"briefTitle":41,"officialTitle":42,"acronym":43,"eligibilityCriteria":44,"healthyVolunteers":39,"sex":45,"minAge":10,"maxAge":10,"enrollmentInfo":46,"targetDuration":49,"studyType":50,"phases":10,"briefSummary":51,"conditions":52,"keywords":57,"overallStatus":62,"whyStopped":10,"lastUpdateSubmitDate":63,"lastUpdatePostDateStruct":64,"startDateStruct":67,"completionDateStruct":69,"leadSponsor":71,"locationsCount":10},{"fullName":5,"class":6},"University of Alberta","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Critically ill patients requiring acute dialysis",null,"Admitted to an intensive care unit; requiring acute dialysis",[13],"Device: intermittent OR continuous renal replacement therapies",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DEVICE","intermittent OR continuous renal replacement therapies","We will include any critically ill patient admitted to an intensive care unit requiring acute dialysis.",[9],[21],{"name":22,"affiliation":5,"role":23},"Oleksa G Rewa, MD MSc","PRINCIPAL_INVESTIGATOR",[25,30],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},"Oleksa G Rewa, MD MSc FRCPC","CONTACT","17802633280","rewa@ualberta.ca",{"name":31,"role":27,"phone":32,"phoneExt":10,"email":33},"Fadi Hammal, MD MSc","5879907454","hammal@ualberta.ca",{"type":23,"investigatorFullName":35,"investigatorTitle":36,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Oleksa Rewa","Associate Professor, Director of Research & Innovation","100617000","machine-learning-and-artificial-intelligence-algorithms-to-optimize-the-performance-and-delivery-of-acute-dialysis-100617000",false,"NCT07312929","Machine Learning and Artificial Intelligence Algorithms to Optimize the Performance and Delivery of Acute Dialysis","SMART DIALYSIS - Scaling Machine Learning and Artificial Intelligence AlgoRithms to OpTimize the Performance and Delivery of Acute DIALYSIS.","SMART DIALYSIS","Inclusion Criteria\n\nPatients admitted to an intensive care unit (ICU) who require acute renal replacement therapy, either intermittent or continuous.\n\nExclusion Criteria\n\nReceipt of renal replacement therapy for less than 24 hours.\n\nPre-existing end-stage kidney disease.","ALL",{"count":47,"type":48},7500,"ESTIMATED","90 Days","OBSERVATIONAL","SMART DIALYSIS - Scaling Machine Learning and Artificial Intelligence AlgoRithms to OpTimize the Performance and Delivery of Acute DIALYSIS.\n\nHypothesis:\n\nCan the investigators develop and implement Machine Learning and Artificial Intelligence Algorithms into Clinical Information Systems to Optimize the Prescription, Delivery, and Performance of Acute Dialysis?\n\nObjective(s):\n\n1. Identify variables surrounding identified Key Performance Indicators that may be used by Machine Learning and Artificial Intelligence algorithms to optimize the prescription and performance of acute dialysis.\n2. Develop Machine Learning and Artificial Intelligence algorithms to help guide the prescription and delivery of acute dialysis in the development of Clinical Decision Support tools and Best Practice Advisories and create a ML\u002FAI Augmented SMART DIALYSIS Digital Dashboard.\n3. Implement and evaluate the performance of the developed Machine Learning and Artificial Intelligence algorithms on patient-centered and health economic outcomes.\n4. Validate and benchmark the performance of the evaluated Machine Learning and Artificial Intelligence algorithms across multiple jurisdictions.",[53,54,55,56],"Renal Dialysis","Renal Replacement Therapy","Renal Diseases","Quality Health Care",[58,59,60,61],"Dialysis","Articfical Inteligence","Key performance indicators","Machine Learning","NOT_YET_RECRUITING","2026-01-08",{"date":65,"type":66},"2026-01-12","ACTUAL",{"date":68,"type":48},"2026-06-01",{"date":70,"type":48},"2031-06-30",{"name":5,"class":6}]