[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100604167":3},{"organization":4,"armGroups":7,"interventions":25,"overallOfficials":24,"centralContacts":34,"locations":24,"responsibleParty":40,"collaborators":44,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":24,"eligibilityCriteria":54,"healthyVolunteers":55,"sex":56,"minAge":57,"maxAge":58,"enrollmentInfo":59,"targetDuration":24,"studyType":62,"phases":63,"briefSummary":65,"conditions":66,"keywords":68,"overallStatus":73,"whyStopped":24,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":24},{"fullName":5,"class":6},"Majmaah University","OTHER",[8,14,20],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-Enhanced Telerehabilitation","EXPERIMENTAL","Participants receive personalized exercise programs delivered through a custom telerehabilitation platform incorporating AI-based movement analysis using Google MediaPipe Pose computer vision technology. The system monitors exercise performance through participants' webcams or smartphones, providing real-time feedback on form, automatically counting repetitions, measuring hold times, and flagging technique errors. AI-generated performance data is reviewed by physiotherapists who provide personalized corrective guidance through scheduled video consultations. Exercises focus on flexibility, core stability, and functional strength targeting chronic non-specific low back pain. The intervention combines objective AI monitoring with human therapeutic guidance to optimize exercise adherence and technique.",[13],"Other: AI Based Exercises",{"label":15,"type":16,"description":17,"interventionNames":18},"Exercise-Only Telerehabilitation","ACTIVE_COMPARATOR","Participants receive structured exercise programs delivered via pre-recorded video instructions without AI monitoring or automated feedback. This represents current standard telerehabilitation practice, with periodic physiotherapist consultations conducted through video conferencing sessions. Exercise programs include the same flexibility, core stability, and functional strength components as the AI-enhanced group, but without objective movement analysis or real-time form correction. Therapists rely on visual observation during video sessions and participant self-reports to monitor progress and provide guidance. This arm serves as an active control to isolate the specific effects of AI-enhanced monitoring and feedback.",[19],"Other: Standard Telerehabilitation",{"label":21,"type":22,"description":23,"interventionNames":24},"Usual Care","NO_INTERVENTION","This control intervention represents standard medical care typically provided to college students with chronic non-specific low back pain. Participants receive general advice on activity modification, recommendations for over-the-counter pain medications (NSAIDs, acetaminophen), basic exercise suggestions, and routine follow-up appointments as clinically indicated. No structured exercise program, telerehabilitation platform, or specialized physiotherapy intervention is provided. Participants may seek additional healthcare services as they normally would, including visits to primary care physicians, specialists, or other healthcare providers. This arm serves as a control group to evaluate the effectiveness of both telerehabilitation interventions against current standard medical management practices.",null,[26,30],{"type":6,"name":27,"description":28,"armGroupLabels":29,"otherNames":24},"AI Based Exercises","This intervention combines structured exercise therapy with artificial intelligence-powered movement analysis using Google MediaPipe Pose technology. Participants perform prescribed exercises (flexibility, core stability, functional strength) while a computer vision system analyzes their movements through standard webcam or smartphone cameras. The AI provides real-time feedback on exercise form, automatically counts repetitions, measures hold times, and flags technique errors. Physiotherapists review AI-generated performance data and provide personalized corrective guidance through scheduled video consultations. The platform delivers 8-week progressive exercise programs specifically designed for chronic non-specific low back pain, integrating objective movement monitoring with human therapeutic oversight to optimize adherence and clinical outcomes.",[9],{"type":6,"name":31,"description":32,"armGroupLabels":33,"otherNames":24},"Standard Telerehabilitation","This intervention delivers structured exercise therapy through pre-recorded video instructions without AI monitoring or automated feedback. Participants receive the same exercise components as the AI-enhanced group (flexibility, core stability, functional strength) but rely on video demonstrations and written instructions for proper technique. Physiotherapists conduct periodic consultations via video conferencing to monitor progress, provide guidance, and adjust exercise programs based on visual observation and participant self-reports. The 8-week progressive program represents current standard telerehabilitation practice for chronic non-specific low back pain, serving as an active comparator to isolate the specific effects of AI-enhanced movement analysis and real-time feedback systems.",[15],[35],{"name":36,"role":37,"phone":38,"phoneExt":24,"email":39},"Faizan Z PhD scholar, PhD","CONTACT","+919818899180","faizankashoo@gmial.com",{"type":41,"investigatorFullName":42,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":24,"oldOrganization":24},"PRINCIPAL_INVESTIGATOR","faizan kashoo, PT","PhD Scholar",[45],{"name":46,"class":47},"Galgotias University","UNKNOWN","100604167","ai-enhanced-telerehabilitation-program-using-automated-video-analysis-and-personalized-feedback-on-pain-disability-mobility-endurance-for-chronic-non-specific-low-back-pain-in-college-students-100604167",false,"NCT07145996","AI-Enhanced Telerehabilitation Program Using Automated Video Analysis and Personalized Feedback on Pain, Disability, Mobility, Endurance, for Chronic Non-Specific Low Back Pain in College Students.","AI-Enhanced Telerehabilitation Program Using Automated Video Analysis and Personalized Feedback on Pain, Disability, Mobility, Endurance, for Chronic Non-Specific Low Back Pain in College Students: A Randomized Controlled Trial","Inclusion Criteria\n\n* Age 18-30 years, currently enrolled in undergraduate or postgraduate study.\n* Diagnosis of non-specific LBP for at least 3 months.\n* Baseline pain intensity between 3 and 7 (NRS).\n* Ability and willingness to perform prescribed exercises and participate in video conferencing.\n* Access to suitable device and reliable internet.\n* Informed consent obtained. Exclusion Criteria\n* Specific causes of LBP (e.g., fracture, tumor, infection, inflammatory disease).\n* Recent spinal surgery or confirmed disc herniation (within past year).\n* Neurological deficits or severe comorbid conditions contraindicating exercise.\n* Pregnancy or current participation in another structured LBP program.\n* BMI ≥ 35 kg\u002Fm² (could impair AI pose detection).\n* Inability to understand English instructions or complete measures.",true,"ALL","18 Years","30 Years",{"count":60,"type":61},120,"ESTIMATED","INTERVENTIONAL",[64],"NA","This study tests whether an artificial intelligence (AI)-enhanced telerehabilitation program can effectively treat chronic non-specific low back pain in college students.\n\nLow back pain affects 40-52% of university students due to prolonged sitting during lectures and study sessions, poor posture from laptop use, and lack of physical activity. While exercise therapy is the recommended treatment, many students cannot access traditional physiotherapy due to cost, scheduling conflicts, and location barriers.\n\nThis randomized controlled trial compares three treatment approaches: (1) AI-enhanced telerehabilitation with automated video analysis and personalized feedback, (2) standard telerehabilitation with video instructions only, and (3) usual care. The AI system uses computer vision technology (Google MediaPipe Pose) to analyze exercise videos through a standard webcam or smartphone, automatically tracking joint movements, counting repetitions, and providing real-time feedback on exercise form.\n\nCollege students with chronic low back pain (lasting more than 3 months) will be randomly assigned to one of the three groups. The AI-enhanced group will receive personalized exercise programs delivered remotely, with the AI system monitoring their performance and physiotherapists providing guidance through video consultations.\n\nThe study will measure changes in pain levels, disability, physical function, trunk muscle endurance, and quality of life over 8 weeks of treatment and 3 months of follow-up. Researchers will also evaluate how well participants stick to their exercise programs and how easy the technology is to use.\n\nThis research aims to determine if AI technology can make remote physiotherapy more effective and accessible for college students, potentially transforming how young adults receive treatment for back pain and improving their long-term health outcomes.",[67],"Non Specific Low Back Pain",[69,70,71,72],"back pain","exercise","young adults","artificial intelligence","NOT_YET_RECRUITING","2025-09-25",{"date":76,"type":77},"2025-09-30","ACTUAL",{"date":79,"type":61},"2025-10-01",{"date":81,"type":61},"2026-09-01",{"name":5,"class":6}]