[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"clinical-skills\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:clinical-skills":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":30,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":4},"100652057","ai-assisted-feedback-for-learning-standardized-tuina-skills-100652057",false,"NCT07767916","AI-Assisted Feedback for Learning Standardized Tuina Skills","Effects of Sensor- and Generative AI-Supported Personalized Feedback on the Acquisition of Standardized Tuina Skills Among Rehabilitation Trainees: A Randomized Controlled Trial","AI-TUINA","Inclusion Criteria:\n\n* Aged 18 years or older.\n* Currently enrolled in or receiving training in rehabilitation medicine, physical therapy, rehabilitation therapy, or a related health profession.\n* Has not previously achieved the predefined competency standard for the standardized Tuina skill evaluated in this study.\n* Able to understand the study instructions and independently complete the training tasks and study questionnaires.\n* Able and willing to attend all scheduled training sessions and the four-week follow-up assessment.\n* Willing to participate voluntarily and provide written informed consent.\n\nExclusion Criteria:\n\n* Current acute injury, clinically significant pain, or functional limitation involving the hand, wrist, upper limb, shoulder, neck, or lower back that may interfere with repeated manual skill practice.\n* Previous systematic training in the same standardized Tuina technique with performance at or above the predefined competency standard.\n* Any medical, physical, cognitive, or psychological condition that, in the investigator's judgment, may make participation unsafe or prevent valid completion of the study procedures.\n* Unable to understand the study procedures or provide informed consent.\n* Direct involvement in the design, randomization, intervention delivery, outcome assessment, data management, or statistical analysis of this study.\n* Concurrent participation in another training study that may substantially affect performance of the standardized Tuina skill.",true,"ALL","18 Years",{"count":21,"type":22},81,"ESTIMATED","INTERVENTIONAL",[25],"NA","The goal of this educational study is to determine whether personalized feedback generated using sensor data and generative artificial intelligence (AI) can improve the learning of standardized Tuina skills among rehabilitation trainees. Tuina is a form of manual therapy that requires learners to control the location, force, rhythm, and consistency of their hand movements.\n\nA total of 81 rehabilitation trainees will be randomly assigned to one of three training groups: AI-supported personalized feedback, sensor-based data feedback without AI-generated recommendations, or traditional instructor feedback. All groups will receive the same standardized demonstration, training tasks, practice duration, and number of practice sessions.\n\nThe main question is whether trainees receiving AI-supported personalized feedback achieve better retention of standardized Tuina skills four weeks after training. The researchers will also compare immediate skill performance, force and rhythm control, transfer of skills to a related task, learning efficiency, self-efficacy, cognitive load, satisfaction, and the safety and acceptability of AI-generated feedback.\n\nSkill performance will be assessed using a blinded Objective Structured Clinical Examination (OSCE) and objective sensor-based measurements. The study activities will be conducted using a mechanical simulation model and a pressure-sensing system, rather than on patients.",[28,29],"Medical Education","Clinical Skills",[31,32,33,34,35,36,37,38,39,40],"Artificial Intelligence","Generative Artificial Intelligence","Rehabilitation Education","Health Professions Education","Tuina","Manual Therapy Skills","Sensor-Based Feedback","Personalized Feedback","Deliberate Practice","Objective Structured Clinical Examination","NOT_YET_RECRUITING","2026-08-12",{"date":44,"type":45},"2026-08-17","ACTUAL",{"date":47,"type":22},"2026-08-13",{"date":49,"type":22},"2028-08-01",{"name":51,"class":52},"Zhejiang University","OTHER"]