[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"chatbot\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:chatbot":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,5,0,[8,50,78,122,152],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":33,"overallStatus":37,"whyStopped":4,"lastUpdateSubmitDate":38,"lastUpdatePostDateStruct":39,"startDateStruct":42,"completionDateStruct":44,"leadSponsor":46,"locationsCount":49},"100568535","enhancing-oral-cancer-awareness-100568535",false,"NCT06682494","Enhancing Oral Cancer Awareness","Comparative Study on Enhancing Oral Cancer Awareness: Classical Educational Materials vs. AI-Powered Chatbot","Inclusion Criteria:\n\n* Identify as African American as defined by the US Census\n* Participants must be able to read, speak, and write in English\n\nExclusion Criteria:\n\n* Individuals who cannot physically or mentally participate in the research project will be excluded\n* Adults unable to consent\n* Individuals who are not yet adults (infants, children, teenagers)\n* Prisoners",true,"ALL","18 Years",{"count":20,"type":21},60,"ESTIMATED","INTERVENTIONAL",[24],"NA","To evaluate the impact of AI-powered chatbot interactions versus traditional educational handouts on increasing participants' knowledge of oral cancer and its prevention",[27,28,29,30,31,32],"Oral Cancer","Chatbot","Patient Education","Prevention","Oral Cancer , Oral Squamous Cell Carcinoma, Oral Cavity Cancer","Oropharyngeal Cancers",[34,35,36],"AI-powered Chatbox","Oral cancer prevention","Socio-economic barriers","RECRUITING","2026-05-07",{"date":40,"type":41},"2026-05-08","ACTUAL",{"date":43,"type":41},"2025-09-24",{"date":45,"type":21},"2027-10-31",{"name":47,"class":48},"Virginia Commonwealth University","OTHER",1,{"id":51,"slug":52,"hasResults":11,"nctId":53,"briefTitle":54,"officialTitle":54,"acronym":4,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":22,"phases":58,"briefSummary":59,"conditions":60,"keywords":65,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":4},"100628577","effectiveness-of-chatbot-for-improving-caregiving-outcomes-in-primary-caregivers-of-geriatric-pneumonia-patients-a-study-on-knowledge-attitude-and-practice-100628577","NCT07463443","Effectiveness of Chatbot for Improving Caregiving Outcomes in Primary Caregivers of Geriatric Pneumonia Patients: A Study on Knowledge, Attitude and Practice.","Inclusion Criteria:\n\n* (1)Patients with a primary diagnosis of pneumonia during the current hospitalization.(2)Patients aged 65 years or older.(3)Primary caregivers aged 18 years or older.(4)Primary caregivers who can read and understand Mandarin Chinese.(5)Primary caregivers who own a mobile device (e.g., smartphone or tablet) and can use the chatbot application.\n\nExclusion Criteria:\n\n* (1)Primary caregivers who do not live with the patient.(2)Primary caregivers who have received formal training as professional nursing assistants or caregivers.(3)Primary caregivers who are currently or were formerly healthcare professionals (e.g., physicians, nurses, therapists).(4)Primary caregivers who do not possess a mobile device or are unable to use chatbot applications.",{"count":57,"type":21},150,[24],"Pneumonia is a leading cause of death and hospitalization among the elderly in Taiwan. High-quality home care is essential to recovery and reducing readmission, yet primary caregivers often lack the specific skills needed, such as airway clearance and safe feeding techniques. Traditional education, consisting of one-time verbal instructions and paper brochures, often lacks interactivity and real-time support.\n\nThis study introduces \"Pneumonia Care Helper,\" an interactive LINE chatbot designed to provide digital health education. The goal is to evaluate whether this digital tool is more effective than traditional paper-based education in improving the knowledge, attitudes, and caregiving practices of primary caregivers of elderly pneumonia patients. The study will compare the outcomes of caregivers using the chatbot versus those receiving standard paper-based instructions over a 5-day intervention period.",[61,62,63,28,64],"Pneumonia","Family Caregivers","Knowledge, Attitudes, Practice","Geriatric Patient",[61,62,63,28,66],"Geriatric patient","NOT_YET_RECRUITING","2026-03-05",{"date":70,"type":41},"2026-03-11",{"date":72,"type":21},"2026-03-10",{"date":74,"type":21},"2027-02-24",{"name":76,"class":77},"Taipei Veterans General Hospital, Taiwan","OTHER_GOV",{"id":79,"slug":80,"hasResults":11,"nctId":81,"briefTitle":82,"officialTitle":83,"acronym":84,"eligibilityCriteria":85,"healthyVolunteers":11,"sex":86,"minAge":18,"maxAge":4,"enrollmentInfo":87,"targetDuration":4,"studyType":22,"phases":89,"briefSummary":90,"conditions":91,"keywords":100,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":113,"lastUpdatePostDateStruct":114,"startDateStruct":116,"completionDateStruct":118,"leadSponsor":120,"locationsCount":49},"100610142","postpartum-education-via-artificial-intelligence-for-recovery-and-loneliness-a-randomized-controlled-trial-100610142","NCT07223736","Postpartum Education Via Artificial Intelligence for Recovery and Loneliness: A Randomized Controlled Trial","Postpartum Education Via Artificial Intelligence for Recovery and Loneliness (PEARL): A Randomized Controlled Trial","PEARL","Inclusion Criteria:\n\n1. Has the capacity to provide informed consent\n2. Stated willingness to comply with all study procedures and availability for the duration of the study\n3. Postpartum persons, aged \\>18 years old\n4. Primiparous\n5. Vaginal or cesarean delivery\n6. English Speaking\n7. Internet access and proficiency of internet access\n8. Access to a smartphone\n9. Postpartum 2-6 weeks\n\nExclusion Criteria:\n\n1. Multiparous\n2. Major neonatal anomaly\n3. Delivery \\\u003C 34 weeks gestational age\n4. Intrauterine fetal demise (IUFD)\n5. Enrollment in any interfering studies\n6. Unanticipated NICU admission\n7. Discharge home without live baby\n8. Surrogates\u002Fgestational carrier\n9. Birthing individuals with baby placed for adoption\n10. Currently pregnant\n11. Psychiatric history requiring psychiatric hospitalization prior to delivery\n12. Other psychiatric conditions needing immediate attention and intervention as determined by study team and\u002For treatment team","FEMALE",{"count":88,"type":21},130,[24],"The goal of this clinical trial is to learn whether a postpartum chatbot powered by generative artificial intelligence (genAI) can help new mothers get better pelvic floor health information and feel less lonely after childbirth.\n\nThe main questions this study aims to answer are:\n\n* Does using the chatbot improve postpartum pelvic floor health knowledge?\n* Does using the chatbot help reduce feelings of loneliness during the postpartum period?\n* Does using the chatbot impact pelvic floor symptoms?\n\nResearchers will compare standard postpartum care to standard care plus the chatbot.\n\nParticipants will:\n\nBe assigned by chance (like flipping a coin) to standard postpartum care with or without access to the chatbot.\n\nIf in the chatbot group, participants will receive education and support via the chatbot over a 4-week period.\n\nBoth groups will complete questionnaires to measure their pelvic floor knowledge, pelvic floor symptoms, feelings of loneliness, depression, infant bonding, perceived social support, adverse childhood experiences, and peri-traumatic distress.\n\nThe chatbot was created by urogynecology experts in collaboration with UC San Diego computer science and biomedical informatics researchers. The chatbot is designed to give new mothers personalized, evidence-based information and support in real time.",[92,93,94,95,96,97,98,99,28],"Pelvic Floor Disorder","Loneliness","Postpartum","Mental Health","Depression","Peritraumatic Distress","Women","Artificial Intelligence (AI)",[101,102,103,104,105,106,107,108,109,110,111,112],"loneliness","postpartum","pelvic floor disorder","mental health","depression","peritraumatic distress","artificial intelligence","AI","chatbot","LLM","women","large language model","2025-10-31",{"date":115,"type":41},"2025-11-03",{"date":117,"type":21},"2025-11-10",{"date":119,"type":21},"2026-11-01",{"name":121,"class":48},"University of California, San Diego",{"id":123,"slug":124,"hasResults":11,"nctId":125,"briefTitle":126,"officialTitle":127,"acronym":4,"eligibilityCriteria":128,"healthyVolunteers":16,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":129,"targetDuration":4,"studyType":22,"phases":131,"briefSummary":132,"conditions":133,"keywords":137,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":143,"lastUpdatePostDateStruct":144,"startDateStruct":146,"completionDateStruct":148,"leadSponsor":150,"locationsCount":4},"100557923","the-impact-of-chatbot-assisted-nursing-education-on-perceived-burden-of-care-and-caregiver-stress-100557923","NCT06544421","The Impact of Chatbot-Assisted Nursing Education on Perceived Burden of Care and Caregiver Stress","The Effect of Chatbot-Assisted Nursing Education on Perceived Care Burden and Caregiver Stress","Inclusion Criteria:\n\n* To be at least a primary school graduate\n* Caregivers have the cognitive capacity to use chatbots (The chatbot application will be installed on the caregiver's android phone and the status of using it will be evaluated)\n* Willingness to participate in the study\n* To be open to communication and cooperation\n* Having a phone with Android operating system\n* Have literacy skills\n* Not having participated in stress training before\n\nExclusion Criteria:\n\n* Having received any psychiatric diagnosis.\n* Taking antipsychotic medication",{"count":130,"type":21},62,[24],"Caregivers play a key role in the provision of day-to-day care and the coordination of care services. Caregivers of stroke patients use dysfunctional coping strategies to cope with the stressors and burden of care they encounter during this long caregiving process. In this study, it will be tried to improve the stress coping skills of caregivers by using an application with chatbot support based on the COM-B model.In the study, introductory information form, stress coping styles scale, depression, anxiety, stress (DASS 21) and burden of care measurement tool will be used. The study will be conducted in a randomized controlled manner. Chatbot will be applied to the experimental group and the control group will be exposed to routine practice. The study group will consist of individuals who care for those who are discharged home from Atatürk University stroke center. Experiments and controls will be accessed by searching the hospital records. The fact that nursing education is given through a chatbot and that the chatbot is designed according to a stress training model (behavior change wheel) reflects the originality of the study. With this study, caregivers are expected to be able to manage stress effectively by teaching them how to cope with stress.",[28,134,96,135,136],"Anxiety","Stress","Caregivers",[138,28,139,140,141,142],"stress","paralysis","Caring giver","Nursing Education","Home Care","2024-08-06",{"date":145,"type":41},"2024-08-09",{"date":147,"type":21},"2024-08-10",{"date":149,"type":21},"2025-07-31",{"name":151,"class":48},"Ataturk University",{"id":153,"slug":154,"hasResults":11,"nctId":155,"briefTitle":156,"officialTitle":157,"acronym":4,"eligibilityCriteria":158,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":159,"enrollmentInfo":160,"targetDuration":4,"studyType":22,"phases":162,"briefSummary":163,"conditions":164,"keywords":4,"overallStatus":37,"whyStopped":4,"lastUpdateSubmitDate":169,"lastUpdatePostDateStruct":170,"startDateStruct":172,"completionDateStruct":174,"leadSponsor":176,"locationsCount":49},"100548593","smart-mhealth-strategy-for-physical-activity-and-health-promotion-100548593","NCT06423014","Smart mHealth Strategy for Physical Activity and Health Promotion","Smart mHealth Strategy in the Delivery of Behavior Change Techniques for Physical Activity and Health Promotion","Inclusion Criteria:\n\nAdults who is the age of majority, with insufficient physical activity, and a sedentary lifestyle who have smartphones\n\nExclusion Criteria:\n\n* Individuals' health conditions may affect physical activity in daily living and the experiment, such as disability, serious health problems\n\n  * There are unconventional life plans during the experiment, such as going abroad for vacation, pregnancy, and surgery.\n\n    * Individuals have using experiences in any wearable physical activity trackers in the past six months ④ People who have ever had severe allergies to any wearable device ⑤ Professional athletes or student-athletes","70 Years",{"count":161,"type":21},360,[24],"The purpose of this study is to develop a Smart mHealth Strategy that delivers behavior change techniques through wearable physical activity trackers and social media chatbots, including self-monitoring, real-time feedback and reminders, goal-setting, competition and rewards, social support, and health coaching. This study also aims to explore the effect of the Smart mHealth Strategy on the behavioral outcomes and psychological factors of physical activity, and physical and mental health. The study design is a three-stage randomized controlled trial. In each stage, 120 are recruited and randomly assigned to control and experimental groups. Participants are adults with insufficient physical activity and a sedentary lifestyle. The Smart mHealth Strategy uses smartwatches and self-developed chatbots. The constrained dialogue content is designed to finally deliver the six behavior change techniques. Data are collected in the pre-, mid-, and post-tests. The measurement includes self-administered questionnaires, Actigraphy GT9X, Inbody 270S, OMRON HEM-7130, and heart rate variability monitors.",[165,166,28,167,168],"Health Behavior Change","Wearable Technology","Social Media","Sedentary Lifestyle","2024-05-15",{"date":171,"type":41},"2024-05-21",{"date":173,"type":41},"2023-05-01",{"date":175,"type":21},"2026-12",{"name":177,"class":48},"Taipei Medical University"]