[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"endotracheal-tube\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:endotracheal-tube":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,50,77],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":29,"overallStatus":37,"whyStopped":4,"lastUpdateSubmitDate":38,"lastUpdatePostDateStruct":39,"startDateStruct":42,"completionDateStruct":44,"leadSponsor":46,"locationsCount":49},"100580802","ai-assisted-chest-x-ray-for-misplaced-endotracheal-and-nasogastric-tubes-and-pneumothorax-in-emergency-and-critical-care-settings-100580802",false,"NCT06842043","AI-Assisted Chest X-Ray for Misplaced Endotracheal and Nasogastric Tubes and Pneumothorax in Emergency and Critical Care Settings","Clinical Effectiveness and Cost-Effectiveness of Real-Time Chest X-Ray Computer-Aided Detection System for Misplaced Endotracheal and Nasogastric Tubes and Pneumothorax in Emergency and Critical Care Settings","Inclusion Criteria for units:\n\n* Emergency critical care or intensive care units.\n* The units included the patients requiring chest X-rays due to endotracheal intubation, nasogastric tube insertion, or ventilator use with a risk of pneumothorax.\n\nExclusion Criteria for units:\n\n* The unit supervisor doesn't agree to participate in the trial.\n* The unit is unable to implement the AI-assisted system (e.g., no data connection or system support).\n\nInclusion Criteria for Patients:\n\n● Patients who are adults and require chest X-ray due to one of the following conditions: endotracheal intubation, nasogastric intubation, or the use of a ventilator with the potential to cause pneumothorax.\n\nExclusion Criteria for Patients: Patients in isolation wards or pediatric\n\n* Patients in isolation wards.\n* Patients in Infant Intensive Care Unit","ALL","18 Years",{"count":19,"type":20},10900,"ESTIMATED","INTERVENTIONAL",[23],"NA","Background Advancements in artificial intelligence (AI) have driven significant breakthroughs in computer-aided detection (CAD) for chest X-ray imaging. National Taiwan University Hospital (NTUH) research team previously developed an AI-based emergency Capstone CXR system (MOST 111-2634-F-002-015-, Capstone project), which led to the creation of a chest X-ray module. This chest X-ray module has an established model supported by extensive research and is ready for direct application in clinical trials without requiring additional model training. This study will utilize three submodules of the system: detection of misplaced endotracheal tubes, detection of misplaced nasogastric tubes, and identification of pneumothorax.\n\nObjective This study aims to apply a real-time chest X-ray CAD system in emergency and critical care settings to evaluate its clinical and economic benefits without requiring additional chest X-ray examinations or altering standard care and procedures. The study will evaluate the CAD system's impact on mortality reduction, post-intubation complications, hospital stay duration, workload, and interpretation time, alongside a cost-effectiveness comparison with standard care.\n\nMethods This study adopts a pilot trial and cluster randomized controlled trial design, with random assignment conducted at the ward level. In the intervention group, units are granted access to AI diagnostic results, while the control group continues standard care practices. Consent will be obtained from attending physicians, residents, and advanced practice nurses in each participating ward. Once consent is secured, these healthcare providers in the intervention group will be authorized to use the CAD system. Intervention units will have access to AI-generated interpretations, whereas control units will maintain routine medical procedures without access to the AI diagnostic outputs.\n\nResults The study was funded in September 2024. Data collection is expected to last from January 2025 to December 2027.\n\nConclusions This study anticipates that the real-time chest X-ray CAD system will automate the identification and detection of misplaced endotracheal and nasogastric tubes on chest X-rays, as well as assist clinicians in diagnosing pneumothorax. By reducing the workload of physicians, the system is expected to shorten the time required to detect tube misplacement and pneumothorax, decrease patient mortality and hospital stays, and ultimately lower healthcare costs.",[26,27,28],"Endotracheal Tube","Nasogastric Tube","Pneumothorax",[30,31,32,33,34,35,36],"Computer-aided detection system","Artificial intelligence","Pneumothorax diagnosis","Endotracheal tube","Nasogastric tube","Clinical effectiveness","Cost effectiveness","NOT_YET_RECRUITING","2026-03-15",{"date":40,"type":41},"2026-03-17","ACTUAL",{"date":43,"type":20},"2026-04-01",{"date":45,"type":20},"2027-12-31",{"name":47,"class":48},"National Taiwan University Hospital","OTHER",1,{"id":51,"slug":52,"hasResults":11,"nctId":53,"briefTitle":54,"officialTitle":54,"acronym":4,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":16,"minAge":56,"maxAge":57,"enrollmentInfo":58,"targetDuration":4,"studyType":21,"phases":60,"briefSummary":61,"conditions":62,"keywords":64,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":49},"100511559","ultrasound-detectable-endotracheal-tube-a-feasibility-study-100511559","NCT05941013","Ultrasound-detectable Endotracheal Tube: a Feasibility Study","Inclusion Criteria:\n\n* Patient is undergoing scheduled or planned diagnostic or interventional cardiac catheterization with planned general anesthesia requiring endotracheal intubation.\n\nExclusion Criteria:\n\n* Patient has a known airway abnormality, including tracheal stenosis, previous tracheal stenosis, or tracheobronchomalacia.\n* Patient has a tracheostomy.\n* Patient is ventilator-dependent.\n* Patient has an anticipated difficult intubation based upon airway exam and\u002For history of difficult intubation.\n* Patient is unlikely (in opinion of anesthesia team) or is unable to be intubated with 3.5 mm, 4.0 mm, or 4.5 mm Inner Diameter USD-ETT due to the size of the patient or their airway.\n* Patient is already intubated prior to the scheduled procedure.\n* It is anticipated that the patient will not be extubated after the catheterization procedure.\n* Concurrent enrollment in another clinical trial with an intervention during the cardiac catheterization procedure or 30 days afterwards.\n* Allergy to plastic\u002Fmaterials in USD-ETT","6 Months","42 Months",{"count":59,"type":20},20,[23],"The researchers are studying whether special features make it easier to see if the breathing tube is in the correct place. It is hoped that the investigational device will enable more accurate placement (depth and trachea vs. esophagus).",[63,26],"Cardiac Catheterization",[65,66],"Ultrasound","Intubation","RECRUITING","2026-02-03",{"date":70,"type":41},"2026-02-05",{"date":72,"type":41},"2023-11-15",{"date":74,"type":20},"2027-04",{"name":76,"class":48},"John R. Charpie",{"id":78,"slug":79,"hasResults":11,"nctId":80,"briefTitle":81,"officialTitle":82,"acronym":4,"eligibilityCriteria":83,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":84,"targetDuration":4,"studyType":86,"phases":4,"briefSummary":87,"conditions":88,"keywords":4,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":91,"lastUpdatePostDateStruct":92,"startDateStruct":94,"completionDateStruct":96,"leadSponsor":98,"locationsCount":49},"100555307","two-bedside-ultrasound-techniques-and-standard-methods-for-confirmation-of-endotracheal-tube-insertion-in-intensive-care-patients-100555307","NCT06510387","Two Bedside Ultrasound Techniques and Standard Methods for Confirmation of Endotracheal Tube Insertion in Intensive Care Patients","Comparison of Two Bedside Ultrasound Techniques and Standard Methods for Confirmation of Endotracheal Tube Insertion in Intensive Care Patients, A Cross-Sectional Observational Study","Inclusion Criteria:\n\n* Patients \\> 18 years old.\n* Both sex.\n* All patients requiring prophylactic airway management e.g (patient with Glasgow Coma Scale \\\u003C8) with endotracheal intubation in the intensive care unit.\n\nExclusion Criteria:\n\n* An abnormal airway anatomy.\n* Tracheal or endobronchial lesion.\n* Significant cervical trauma.\n* Cervical abnormality.\n* Neck swelling.\n* Patients who need cardiopulmonary resuscitation.",{"count":85,"type":20},70,"OBSERVATIONAL","This cross-sectional observational study aims to predict the sensitivity and specificity of ultrasonography using suprasternal and subxiphoid methods to confirm the correct placement of endotracheal tubes compared to standard methods in intensive care patients.",[89,65,26,90],"Two Bedside","Intensive Care Patients","2024-07-14",{"date":93,"type":41},"2024-07-19",{"date":95,"type":41},"2023-10-01",{"date":97,"type":20},"2024-09-01",{"name":99,"class":48},"Tanta University"]