[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"perforation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:perforation":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,55],{"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":21,"briefSummary":23,"conditions":24,"keywords":36,"overallStatus":43,"whyStopped":4,"lastUpdateSubmitDate":44,"lastUpdatePostDateStruct":45,"startDateStruct":48,"completionDateStruct":50,"leadSponsor":52,"locationsCount":4},"100640138","development-and-validation-of-a-deep-learning-model-to-predict-endodontic-retreatment-difficulty-from-periapical-radiographs-100640138",false,"NCT07611279","Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs","Ai Retreatment","Inclusion Criteria:\n\nPeriapical radiographs of maxillary and mandibular molars requiring non-surgical endodontic retreatment will be included. Radiographs should exhibit satisfactory image quality, characterized by adequate sharpness, contrast, and minimal distortion or noise to allow accurate assessment of relevant anatomical and treatment-related features. Images should clearly display the tooth of interest, surrounding periapical structures, and any existing root canal filling materials or restorations.\n\nExclusion Criteria:\n\nDeciduous teeth, non-restorable, non-treated teeth","ALL",{"count":18,"type":19},123,"ESTIMATED","INTERVENTIONAL",[22],"NA","The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal retreatment. By integrating deep learning techniques with routinely acquired periapical radiographs, this study aims to enhance diagnostic support, improve clinical decision-making, and facilitate appropriate case selection or referral in endodontic practice.",[25,26,27,28,29,30,31,32,33,34,35],"Endodontic Retreatment","Non-surgical Retreatment","Endodontics","AI (Artificial Intelligence)","Deep Learning Model","DIFFICULTY ASSESSMENT","SEPARATED INSTRUMENT","Perforation","Missed Canals","Poor Obturation","Obturation Quality",[37,38,39,40,41,42],"endodontic retreatment","difficulty assessment","endodontics","ai","artificial intelligence","deep learning model","NOT_YET_RECRUITING","2026-05-20",{"date":46,"type":47},"2026-05-28","ACTUAL",{"date":49,"type":19},"2026-07",{"date":51,"type":19},"2027-01",{"name":53,"class":54},"Cairo University","OTHER",{"id":56,"slug":57,"hasResults":11,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":61,"eligibilityCriteria":62,"healthyVolunteers":11,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":63,"targetDuration":65,"studyType":66,"phases":4,"briefSummary":67,"conditions":68,"keywords":77,"overallStatus":88,"whyStopped":4,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":92,"completionDateStruct":94,"leadSponsor":96,"locationsCount":99},"100629458","targeting-real-world-usage-in-stroke-treatment-100629458","NCT07474935","Targeting Real World Usage In Stroke Treatment","TRUST Registry - Targeting Real World Usage In Stroke Treatment A WallabyPhenox Hemorrhagic Stroke Registry","TRUST","Inclusion Criteria:\n\n* Subject treated or intended to be treated with at least one target registry device during the procedure (i.e., at least one attempt of introduction into the vasculature of the subject),\n* Non-opposition to data collection or informed consent provided by the subject or legal representative as per country-specific legislation.\n\nExclusion Criteria:\n\n* Participation in an interventional study modifying standard care management for all relevant indications,",{"count":64,"type":19},5000,"5 Years","OBSERVATIONAL","TRUST Registry is an observational, prospective, long-term, post-market surveillance registry of subjects treated with WallabyPhenox flow modulation devices, stent systems, bifurcation aneurysm implants including their HPC variants (Hydrophilic Polymer Coating) where applicable as well as coil systems, and other adjunctive medical devices.\n\nThe overarching purpose of this registry is to carry out a proactive gathering, recording, and analysis of data on the safety, performance and usability of the devices as applied within the routine practice of the participating registry sites.",[69,70,71,32,72,73,74,75,76],"Saccular and Fusiform Aneurysms","Pseudoaneurysm","Vascular Dissection","Bifurcation Aneurysms","Stenosis","Neurovascular Abnormalties","Wide-neck Aneurysm","Intracranial Aneurysms",[78,79,80,81,82,83,84,85,86,87],"TRUST Registry","Registry study","Flow Diverter","WallabyPhenox","p48 MW (HPC)","p64","Avenir Coil","p64 MW (HPC)","pEGASUS HPC","pCONUS 2 (HPC)","RECRUITING","2026-03-11",{"date":91,"type":47},"2026-03-16",{"date":93,"type":47},"2026-01-29",{"date":95,"type":19},"2041-01",{"name":97,"class":98},"Phenox GmbH","INDUSTRY",13]