[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"surgical-education\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:surgical-education":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,7,0,[8,54,79,99,122,150,177],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":31,"overallStatus":42,"whyStopped":4,"lastUpdateSubmitDate":43,"lastUpdatePostDateStruct":44,"startDateStruct":47,"completionDateStruct":49,"leadSponsor":51,"locationsCount":4},"100641792","ambient-audio-visual-capture-for-clinical-documentation-and-assessment-100641792",false,"NCT07649772","Ambient Audio-Visual Capture for Clinical Documentation and Assessment","Ambient Audio-Visual Capture for Clinical Documentation, Assessment and Feedback in Medical Education","BLACKFRAME-AV-","Inclusion\n\nTrainee participants:\n\n* Doctor in training (FY1 through registrar\u002FST grade) undertaking a supervised clinical activity at a participating NHS study site\n* Able to provide written informed consent in English\n\nPatient participants:\n\n* Adult inpatient aged 18 years or over\n* Able to provide written informed consent in English\n* Admitted under a surgical team at a participating study site\n* Clinically stable at the time of approach\n\nExclusion\n\nTrainee participants:\n\n* Unwilling to be audio-visually recorded\n* Unable to provide written informed consent\n* Any trainee where participation could create a direct conflict with a concurrent formal assessment or appraisal process at that session\n\nPatient participants:\n\n* Age under 18 years\n* Unable to provide informed consent (including temporary incapacity due to acute illness, sedation, or delirium)\n* Acute clinical deterioration at the time of approach\n* Encounter involves sensitive disclosures in mental health, sexual health, or safeguarding unless a specific sub-protocol with additional consent measures is in place\n* Patient has previously declined participation and does not wish to be re-approached\n* Non-English speaking patients where no appropriate interpreter is available to support the consent process",true,"ALL",{"count":20,"type":21},60,"ESTIMATED","INTERVENTIONAL",[24],"NA","AI-powered tools that automatically document clinical conversations are being adopted rapidly in outpatient settings but have not been evaluated in hospital wards. Existing tools use audio recording only, which cannot capture physical examination findings, procedural observations, or clinical safety behaviours - elements of a ward round that are visible but not audible.\n\nThis study evaluates an ambient audio-visual (AV) capture system - BlackFrame - that uses both microphone and camera to generate accurate clinical documentation and structured educational feedback in a real inpatient surgical ward setting.\n\nMedical students and doctors in training participate in supervised ward round encounters with consenting adult inpatients. The BlackFrame AI platform generates: (a) a structured draft clinical note for the supervising clinician to review and countersign before any use in the patient record; and (b) formative feedback for the trainee, delivered within 30 minutes, covering clinical communication, examination technique, and documentation quality.\n\nThe study measures whether AI-generated feedback improves trainee clinical performance over a placement, how much documentation time is saved, and whether the system is acceptable to patients and clinicians. No AI-generated text enters the patient record without explicit clinician review and sign-off. All participation is voluntary.",[27,28,29,30],"Clinical Documentation","Artificial Intelligence","Surgical Education","Medical Education",[32,33,34,35,36,37,38,39,40,41],"ambient scribe","audio-visual capture","ward round","formative feedback","clinical assessment","AI documentation","inpatient","software as a medical device","inter-rater reliability","trainee assessment","NOT_YET_RECRUITING","2026-06-10",{"date":45,"type":46},"2026-06-16","ACTUAL",{"date":48,"type":21},"2026-09-01",{"date":50,"type":21},"2026-11-30",{"name":52,"class":53},"BlackFrame.ai","INDUSTRY",{"id":55,"slug":56,"hasResults":11,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":4,"eligibilityCriteria":59,"healthyVolunteers":17,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":61,"targetDuration":4,"studyType":63,"phases":4,"briefSummary":64,"conditions":65,"keywords":66,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":43,"lastUpdatePostDateStruct":70,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":78},"100641791","measuring-force-during-subpial-resection-procedure-using-a-novel-ex-vivo-calf-brain-model-with-integrated-sensor-100641791","NCT07650253","Measuring Force During Subpial Resection Procedure Using a Novel Ex Vivo Calf Brain Model With Integrated Sensor","Inclusion Criteria:\n\n* Right-handed medical students, neurosurgical residents, and staff neurosurgeons from McGill University\n\nExclusion Criteria:\n\n* Left-handed individuals","18 Years",{"count":62,"type":21},9,"OBSERVATIONAL","Neurosurgery is a high-stakes surgical specialty where errors can result in significant morbidity. The amount of force applied simultaneously on the brain with multiple different instruments during complex neurosurgical procedures is a critical safety metric that, to the investigators' knowledge, has not been previously measured in a realistic operative environment.\n\nThe investigators have therefore developed a simulation platform integrating an ex vivo calf brain and a 3D-printed skull model attached to a force sensor capable of capturing real-time forces applied to the brain. A case series study will be conducted to evaluate the pattern of force applied. Medical students, neurosurgical residents, and staff neurosurgeons from McGill University will be recruited to perform subpial resections using our ex vivo calf brain simulation platform. The forces applied by the microscissors, bipolar forceps, and ultrasonic aspirator onto the brain will be captured. This study aims to demonstrate the spectrum of force applied during a neurosurgical procedure using an ex vivo calf brain model.",[29],[29,67,68],"Surgical Simulation","Force Measurement","RECRUITING",{"date":45,"type":46},{"date":72,"type":21},"2026-06",{"date":74,"type":21},"2026-07",{"name":76,"class":77},"McGill University","OTHER",1,{"id":80,"slug":81,"hasResults":11,"nctId":82,"briefTitle":83,"officialTitle":84,"acronym":4,"eligibilityCriteria":85,"healthyVolunteers":17,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":86,"targetDuration":4,"studyType":63,"phases":4,"briefSummary":88,"conditions":89,"keywords":90,"overallStatus":42,"whyStopped":4,"lastUpdateSubmitDate":91,"lastUpdatePostDateStruct":92,"startDateStruct":94,"completionDateStruct":96,"leadSponsor":98,"locationsCount":78},"100640232","validation-of-an-ex-vivo-calf-brain-force-detection-system-for-neurosurgical-simulation-training-100640232","NCT07583082","Validation of an Ex Vivo Calf Brain Force Detection System for Neurosurgical Simulation Training","Validation of an Ex Vivo Calf Brain Force Detection System for Neurosurgical Simulation Training: A Case Series Study","Inclusion Criteria:\n\n* Medical students, neurosurgical residents, neurosurgical fellows, and staff neurosurgeons from one of four Quebec institutions who do not fit the exclusion criteria.\n\nExclusion Criteria:\n\n* For medical students, participation in a previous trial where they received training on the NeuroVR surgical simulator or the ex vivo calf brain simulation model.",{"count":87,"type":21},30,"Neurosurgery is a high-stakes surgical specialty where errors can result in significant patient mortality and morbidity. The amount of force applied on the brain simultaneously by the multiple different instruments during complex neurosurgical procedures is a critical safety metric that, to the investigators' knowledge, has not been previously measured in a realistic operative environment.\n\nThe investigators have therefore developed a simulation platform integrating an ex vivo calf brain and a 3D-printed skull model attached to a force sensor capable of capturing real-time forces applied to the brain. A cross-sectional case series study will be conducted to evaluate the validity of the system. Medical students, neurosurgical residents, neurosurgical fellows, and staff neurosurgeons from four Quebec institutions will be recruited to perform three simulated subpial resections each using our ex vivo calf brain simulation platform. The forces applied by the microscissors, bipolar forceps, and ultrasonic aspirator onto the brain will be captured along with kinematic data. This study aims to establish the face, content, construct, and convergent validity of this ex vivo calf brain force detection system.",[29],[29,67],"2026-05-07",{"date":93,"type":46},"2026-05-13",{"date":95,"type":21},"2026-05",{"date":97,"type":21},"2026-09",{"name":76,"class":77},{"id":100,"slug":101,"hasResults":11,"nctId":102,"briefTitle":103,"officialTitle":104,"acronym":4,"eligibilityCriteria":105,"healthyVolunteers":17,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":106,"targetDuration":4,"studyType":22,"phases":108,"briefSummary":109,"conditions":110,"keywords":4,"overallStatus":42,"whyStopped":4,"lastUpdateSubmitDate":113,"lastUpdatePostDateStruct":114,"startDateStruct":116,"completionDateStruct":118,"leadSponsor":120,"locationsCount":78},"100613619","structured-simulation-training-for-laparoscopic-and-thoracoscopic-skills-in-thoracic-surgery-residents-100613619","NCT07268950","Structured Simulation Training for Laparoscopic and Thoracoscopic Skills in Thoracic Surgery Residents","Structured Simulation-Based Training to Develop Laparoscopic and Thoracoscopic Skills in Thoracic Surgery and Rotating Surgical Residents: A Component-Based Educational Model","Inclusion Criteria:\n\n* Thoracic surgery residents OR rotating general surgery\u002Fcardiovascular surgery residents\n* Age ≥18 years\n* Actively enrolled in an accredited residency training program\n* Willingness to participate in hands-on simulation training\n* Ability to provide informed consent\n* Able to complete video-recorded performance assessments\n\nExclusion Criteria:\n\n* Prior advanced laparoscopic or thoracoscopic fellowship training\n* Inability to safely handle surgical instruments (e.g., significant musculoskeletal limitation)\n* Previous participation in a similar structured simulation program within the past 12 months\n* Declines consent or withdraws participation\n* Unable to attend required training and assessment sessions",{"count":107,"type":21},19,[24],"This study aims to improve basic laparoscopic and thoracoscopic skills in thoracic surgery residents and rotating surgical residents through a structured simulation-based training program. Participants will complete hands-on practice sessions using box trainers, artificial models, and bovine tissues in a controlled, non-patient setting.\n\nBefore and after the training, participants will complete self-assessment surveys and a standardized technical skills evaluation (OSATS). The study will compare these results to measure changes in technical performance, confidence, and learning needs. No real patients, live animals, or clinical procedures are involved, and there are no expected medical risks.\n\nThe goal of this study is to determine whether structured simulation training is effective, practical, and acceptable for surgical education, and whether it can support safer transition to real operating room experience in the future.",[29,111,112],"Simulation-based Training","Resident Training","2025-11-25",{"date":115,"type":46},"2025-12-08",{"date":117,"type":21},"2026-01-01",{"date":119,"type":21},"2027-05-01",{"name":121,"class":77},"Ondokuz Mayıs University",{"id":123,"slug":124,"hasResults":11,"nctId":125,"briefTitle":126,"officialTitle":127,"acronym":128,"eligibilityCriteria":129,"healthyVolunteers":17,"sex":18,"minAge":60,"maxAge":130,"enrollmentInfo":131,"targetDuration":4,"studyType":22,"phases":132,"briefSummary":133,"conditions":134,"keywords":137,"overallStatus":42,"whyStopped":4,"lastUpdateSubmitDate":141,"lastUpdatePostDateStruct":142,"startDateStruct":144,"completionDateStruct":146,"leadSponsor":148,"locationsCount":78},"100607868","digital-gamification-vs-traditional-training-for-hip-replacement-instrument-table-setup-ornurse-100607868","NCT07194148","Digital Gamification vs. Traditional Training for Hip Replacement Instrument Table Setup (ORNurse)","Comparison of the Effectiveness of the Digital Gamification Training Method Developed for Total Hip Replacement Surgery Instrument Table Layout and the Traditional Training Method: A Randomized Controlled Trial","ORNurse","Inclusion Criteria:\n\nAged 18 years or older\n\nNursing students or perioperative nurses\n\nNo prior formal training in surgical instrument table setup for total hip arthroplasty\n\nWilling and able to participate in digital or traditional training sessions\n\nProvided informed consent\n\nExclusion Criteria:\n\nPrior experience with surgical instrument table setup in orthopedic surgeries\n\nVisual, cognitive, or motor impairments that limit ability to complete training tasks\n\nCurrently participating in another interventional education study\n\nRefusal to participate or withdraws consent","65 Years",{"count":20,"type":21},[24],"This randomized controlled trial aims to compare the effectiveness of a digital gamification-based training method and a traditional training method on instrument table layout skills in total hip replacement surgery. Nursing students will be randomly assigned to either a game-based learning group or a control group receiving conventional education. The primary outcome is the accuracy of surgical instrument placement. The study will be conducted at Bozok University in Turkey.",[29,135,136],"Operating Room Nursing","Educational Technology",[138,139,140,136],"Digital Gamification","Surgical Instrument Table","Nursing Education","2025-09-27",{"date":143,"type":46},"2025-10-02",{"date":145,"type":21},"2025-10-15",{"date":147,"type":21},"2026-01-15",{"name":149,"class":77},"DERYA ESENKAYA",{"id":151,"slug":152,"hasResults":11,"nctId":153,"briefTitle":154,"officialTitle":155,"acronym":156,"eligibilityCriteria":157,"healthyVolunteers":11,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":158,"targetDuration":4,"studyType":22,"phases":160,"briefSummary":161,"conditions":162,"keywords":163,"overallStatus":42,"whyStopped":4,"lastUpdateSubmitDate":168,"lastUpdatePostDateStruct":169,"startDateStruct":171,"completionDateStruct":173,"leadSponsor":175,"locationsCount":4},"100556376","the-training-of-resident-surgeons-in-single-port-thoracoscopic-surgery-wound-position-selection-100556376","NCT06524297","The Training of Resident Surgeons in Single-Port Thoracoscopic Surgery Wound Position Selection","The Role of a Metaverse Surgical Simulation System in Guiding Incision Site Selection for Uniportal Video-Assisted Thoracoscopic Surgery","OpVerse","Inclusion Criteria:\n\n* Aged 18 years or older.\n* Diagnosed with a lung nodule no larger than 2cm in diameter. The lesion depth must be located within the outer third of the lung.\n* Scheduled to undergo computer tomography-guided single-port thoracoscopic wedge resection at National Taiwan University Hospital (NTUH) or National Taiwan Cancer Center (NTUCC).\n* Participants who have provided written informed consent for their imaging data to be used by the team to create digital twin models.\n\nExclusion Criteria:\n\n* Patients with lesions larger than 2 cm.\n* Patients not planned for single-port thoracoscopic wedge resection with computed tomography localization.\n* Patients who have not provided written consent.\n* Members of vulnerable populations.\n\nInclusion Criteria (Resident Physician):\n\n* Third-year to fifth-year residents in the Department of Thoracic Surgery at National Taiwan University Hospital.\n\nExclusion Criteria (Resident Physician):\n\n* Residents who are unwilling to participate in the study and decline to sign the consent form.\n* Residents with a history of cybersickness.",{"count":159,"type":21},80,[24],"the metaverse system applied to the training of wound location selection for singleport thoracoscopic surgery. The experimental design is two groups of 40 computer tomography located superficially less than 2 cm lung nodule patients, one group uses the metaverse system to let resident physicians simulate the wound position on the digital twin organs of each patient, and the other group does not use it. The investigators will evaluate the surgeon's satisfaction with the surgical wound position and urgicalrelated results (such as surgery time, blood loss, etc.). The investigators expect that the system will help improve the appropriateness of resident physicians' choice of wound location for high-difficulty single-port thoracoscopic surgery, help them cross the first threshold necessary to familiarize themselves with the surgery faster, and accelerate learning.",[29],[164,29,67,165,166,167],"Metaverse","Digital Twin","Mixed Reality","Single-Port Thoracoscopy","2025-05-09",{"date":170,"type":46},"2025-05-14",{"date":172,"type":21},"2025-08-15",{"date":174,"type":21},"2025-12-31",{"name":176,"class":77},"National Taiwan University Hospital",{"id":178,"slug":179,"hasResults":11,"nctId":180,"briefTitle":181,"officialTitle":181,"acronym":4,"eligibilityCriteria":182,"healthyVolunteers":11,"sex":18,"minAge":4,"maxAge":4,"enrollmentInfo":183,"targetDuration":4,"studyType":22,"phases":185,"briefSummary":186,"conditions":187,"keywords":188,"overallStatus":42,"whyStopped":4,"lastUpdateSubmitDate":193,"lastUpdatePostDateStruct":194,"startDateStruct":196,"completionDateStruct":198,"leadSponsor":200,"locationsCount":4},"100570999","patient-specific-virtual-reality-for-simulation-of-spine-procedures-an-intelligent-image-segmentation-registration-and-3-dimensional-visualization-in-a-unified-virtual-reality-workflow-for-image-guided-therapy-and-education---physician-testing-100570999","NCT06714539","Patient Specific Virtual Reality for Simulation of Spine Procedures: an Intelligent Image Segmentation, Registration and 3-dimensional Visualization in a Unified Virtual Reality Workflow for Image Guided Therapy, and Education - Physician Testing","Inclusion Criteria:\n\n* Any resident of fellow physician enrolled in the participating site's spine surgery training program.\n\nExclusion Criteria:\n\n* None.",{"count":184,"type":21},13,[24],"The goal of this clinical trial is to learn if patient specific virtual reality (VR) simulations can be used for surgical orthopaedic education in resident and fellow physician populations.",[29],[29,189,190,191,192],"Virtual Reality","Spine Surgery","Treatment Planning","Physician Testing","2024-11-28",{"date":195,"type":46},"2024-12-03",{"date":197,"type":21},"2024-12-02",{"date":199,"type":21},"2030-12-31",{"name":201,"class":77},"Sunnybrook Health Sciences Centre"]