[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Tsinghua University\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":347},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,13,0,[8,39,77,115,137,158,175,197,216,242,269,297,325],{"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":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":28,"lastUpdatePostDateStruct":29,"startDateStruct":32,"completionDateStruct":34,"leadSponsor":36,"locationsCount":4},"100643007","a-large-language-model-in-outpatient-care-100643007",false,"NCT07641478","A Large Language Model in Outpatient Care","A Prospective Randomized Controlled Trial of a Large Language Model in Outpatient Care","Inclusion Criteria:\n\nDoctors:\n\n1. Licensed physicians providing outpatient consultations at a participating study hospital\n2. Expected to complete a sufficient number of outpatient clinic sessions during the study period\n3. Provides written informed consent\n\nPatients:\n\n1. Age 18 years or older\n2. Attending an outpatient consultation with a participating doctor\n3. Able to interact with the tool using an internet-connected device such as a smartphone\n4. Provides written informed consent\n\nExclusion Criteria:\n\nPatients:\n\n1. Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction\n2. Declines to provide informed consent","ALL","18 Years",{"count":19,"type":20},3500,"ESTIMATED","INTERVENTIONAL",[23],"NA","The goal of this clinical trial is to learn how the use of a large language model (LLM) based tool affects outpatient clinical care in adult patients attending general hospital outpatient clinics. The main questions it aims to answer are:\n\nDoes the use of an LLM-based tool affect the efficiency of outpatient visits? Does the use of an LLM-based tool affect the experience of doctors and patients during outpatient care?\n\nResearchers will compare outpatient visits supported by an LLM-based tool to standard outpatient visits without such a tool, to see whether and how the tool influences the care process and the experiences of doctors and patients.\n\nParticipants will:\n\nTake part in outpatient visits that may or may not involve an LLM-based tool, depending on their assigned group Complete a short questionnaire about their visit experience after the consultation",[26],"Outpatient Care","NOT_YET_RECRUITING","2026-06-07",{"date":30,"type":31},"2026-06-11","ACTUAL",{"date":33,"type":20},"2026-06-12",{"date":35,"type":20},"2026-09-04",{"name":37,"class":38},"Tsinghua University","OTHER",{"id":40,"slug":41,"hasResults":11,"nctId":42,"briefTitle":43,"officialTitle":44,"acronym":45,"eligibilityCriteria":46,"healthyVolunteers":47,"sex":16,"minAge":48,"maxAge":49,"enrollmentInfo":50,"targetDuration":52,"studyType":53,"phases":4,"briefSummary":54,"conditions":55,"keywords":58,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":76},"100620426","effect-of-oral-supplement-on-influenza-vaccine-long-term-response-100620426","NCT07357467","Effect of Oral Supplement on Influenza Vaccine Long-term Response","Effect of Oral Supplement Intervention on Influenza Vaccine Long-term Efficacy: a Follow-up Study","EOSIIVE-F","Inclusion Criteria:\n\n1. Originally assigned to either the TUDCA supplementation group or placebo control group\n2. No influenza vaccination or other vaccines received between April 2025 and December 2025\n3. Willing to participate in this follow-up study and sign supplementary informed consent\n4. Stable health condition\n\nExclusion Criteria:\n\n1. Started using immunosuppressants or hormonal medications after the original study\n2. Experienced serious illness or hospitalization within the past month, or planning surgery soon\n3. Experienced fever, cold, severe diarrhea, or taken influenza antiviral medications within the past month\n4. Unable or unwilling to participate in blood collection\n5. Lost to follow-up or unable to contact",true,"60 Years","70 Years",{"count":51,"type":20},30,"1 Year","OBSERVATIONAL","This is a follow-up study of a previously completed randomized controlled trial (NCT06827873) that investigated the effects of oral supplements on influenza vaccine response in adults aged 60-70 years. The original study was completed in April 2025, with participants receiving either TUDCA (Tauro Ursodesoxy Cholic Acid) supplementation, fatty acid supplementation, or placebo during influenza vaccination.\n\nThe primary objectives of this follow-up study are to:\n\n1. Evaluate the durability of vaccine-induced antibody responses approximately 8 months post-vaccination\n2. Assess the persistence of immune memory cells, particularly long-lived plasma cells and memory B cells\n3. Compare long-term immune responses between the TUDCA supplementation group and placebo group\n\nThis observational follow-up involves a single visit where participants will:\n\n1. Provide one blood sample for antibody and immune cell analysis\n2. No intervention or vaccination will be administered\n\nThe study will specifically focus on B cell subsets through flow cytometry analysis, including total B cells, memory B cells, plasma cells, and long-lived plasma cells. This research aims to determine whether TUDCA supplementation can enhance the durability of vaccine-induced immunity in older adults.",[56,57],"Influenza","Immunosenescence",[59,60,61,62,63,64,65,66,67],"Tauroursodeoxycholic Acid (TUDCA)","Influenza Vaccine","Antibody","Memory B Cells","Long-lived Plasma Cells","Elderly Adults","Humoral Immunity","Nutritional Immunomodulation","Bile Acids","2026-01-20",{"date":70,"type":31},"2026-01-22",{"date":72,"type":20},"2026-03",{"date":74,"type":20},"2026-07",{"name":37,"class":38},1,{"id":78,"slug":79,"hasResults":11,"nctId":80,"briefTitle":81,"officialTitle":82,"acronym":83,"eligibilityCriteria":84,"healthyVolunteers":47,"sex":85,"minAge":86,"maxAge":87,"enrollmentInfo":88,"targetDuration":4,"studyType":21,"phases":90,"briefSummary":92,"conditions":93,"keywords":100,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":107,"lastUpdatePostDateStruct":108,"startDateStruct":110,"completionDateStruct":112,"leadSponsor":114,"locationsCount":76},"100606095","phase-4-ai-pocus-for-maternal-and-neonatal-health-in-ethiopia-100606095","NCT07171086","AI-POCUS for Maternal and Neonatal Health in Ethiopia","AI-POCUS to Improve Maternal and Neonatal Health Outcomes in Rural Ethiopia: A Three-Arm Cluster Randomized Controlled Trial","AIM-ETH","Inclusion Criteria:\n\n1. Aged 15-49 years;\n2. Gestational age less than 24 weeks at the first ANC visit;\n3. No history of severe pregnancy complications (e.g., placenta previa, preeclampsia, etc.);\n4. Signed informed consent and agreed to participate in the study.\n\nExclusion Criteria:\n\n1. Pregnant women with cognitive impairments or unable to communicate effectively;\n2. Failure to complete antenatal care within the specified timeframe;\n3. Incomplete or unavailable records of antenatal care and delivery.","FEMALE","15 Years","49 Years",{"count":89,"type":20},1059,[91],"PHASE4","Maternal and neonatal health remains one of the most pressing global health challenges, particularly in low- and middle-income countries (LMICs). Ethiopia continues to face a high burden, with maternal mortality estimated at 195 per 100,000 live births, neonatal mortality at 27 per 1,000 live births, and perinatal mortality rates ranging from 37‰ to 124‰ depending on the level of care. These outcomes remain substantially higher than the targets set under the United Nations Sustainable Development Goals (SDGs) for 2030.\n\nThe World Health Organization (WHO) recommends that all pregnant women receive at least one ultrasound scan before 24 weeks of gestation, yet nearly two-thirds of women worldwide-especially in LMICs-lack access to this service. Barriers include high costs of ultrasound machines, limited technical expertise, and shortages of skilled sonographers in rural primary care.\n\nArtificial Intelligence-driven Point-of-Care Ultrasound (AI-POCUS) represents a promising innovation to expand prenatal imaging in resource-constrained settings by equipping frontline health workers with AI-supported diagnostic capabilities. This study, conducted under the Tsinghua University BRIGHT (Bringing Research to Impact for Global Health at Tsinghua) program, will evaluate the clinical effectiveness, feasibility, cost, and scalability of AI-POCUS in rural Ethiopia. A three-arm cluster randomized controlled trial will compare two AI-enabled ultrasound technologies-BabyChecker (Netherlands) and a China-developed AI-POCUS device-against standard antenatal care without ultrasound. Findings will generate robust clinical and policy-relevant evidence to guide the sustainable implementation of AI-enabled maternal health interventions in sub-Saharan Africa.",[94,95,96,97,98,99],"Pregnancy","Pregnancy Complications","Preterm Birth","Fetal Growth Restriction","Stillbirth and Fetal Death","Pregnancy Abnormal",[101,102,103,104,105,106],"Artificial Intelligence","Point-of-Care Ultrasound (POCUS)","Maternal and Neonatal Health","Cluster Randomized Controlled Trial","Sub-Saharan Africa","Rural Centers","2025-09-05",{"date":109,"type":31},"2025-09-12",{"date":111,"type":20},"2025-09-30",{"date":113,"type":20},"2026-08-31",{"name":37,"class":38},{"id":116,"slug":117,"hasResults":11,"nctId":118,"briefTitle":119,"officialTitle":119,"acronym":4,"eligibilityCriteria":120,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":121,"enrollmentInfo":122,"targetDuration":4,"studyType":21,"phases":124,"briefSummary":125,"conditions":126,"keywords":4,"overallStatus":128,"whyStopped":4,"lastUpdateSubmitDate":129,"lastUpdatePostDateStruct":130,"startDateStruct":132,"completionDateStruct":134,"leadSponsor":136,"locationsCount":76},"100580254","usability-user-testing-of-the-easy-eyefm-ai-platform-100580254","NCT06834906","Usability User Testing of the Easy-EyeFM AI Platform","Inclusion Criteria:\n\n* Medical students or doctors\n* Have enough time to participate in this program, about 1 hour continuous assessment\n* Agree to sign the informed consent form\n\nExclusion Criteria:\n\n* Poor computer and mobile phone use and reading ability\n* Poor language expression or dialect category is not included in the speech recognition function of the platform","80 Years",{"count":123,"type":20},84,[23],"Easy-EyeFM is a code-free artificial intelligence platform designed for ophthalmologists to provide diagnostic and treatment recommendations and help doctors develop customized diagnostic models.\n\nThis project aims to evaluate the usability and user-friendliness of the Easy-EyeFM platform for physicians. The study will gather feedback from medical professionals to evaluate the intuitiveness and effectiveness of the platform in supporting model customization and medical image analysis tasks.\n\nSubjects will participate in the trial of the Easy-EyeFM platform and the comparison with the existing commercial platform (AutoML) at the appointed time. The researchers will inform subjects of relevant precautions and assist them to read the user manual before the test. Subjects will complete model customization and picture diagnosis within the prescribed test time, and according to the test results, Score the human-computer interaction experience of the AI platform, fill in the questionnaire, and finally complete the evaluation content.",[127],"Ocular Diseases","RECRUITING","2025-08-14",{"date":131,"type":31},"2025-08-15",{"date":133,"type":31},"2025-01-26",{"date":135,"type":20},"2025-09",{"name":37,"class":38},{"id":138,"slug":139,"hasResults":11,"nctId":140,"briefTitle":141,"officialTitle":142,"acronym":4,"eligibilityCriteria":143,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":121,"enrollmentInfo":144,"targetDuration":4,"studyType":21,"phases":146,"briefSummary":147,"conditions":148,"keywords":4,"overallStatus":128,"whyStopped":4,"lastUpdateSubmitDate":150,"lastUpdatePostDateStruct":151,"startDateStruct":153,"completionDateStruct":155,"leadSponsor":157,"locationsCount":76},"100587055","clinical-intelligent-management-system---multilingual-exploration-100587055","NCT06923410","Clinical Intelligent Management System - Multilingual Exploration","Multilingual Exploration of the Clinical Intelligent Management System Based on a Multimodal Foundation Model","Inclusion criteria for primary care physicians:\n\n* Fluent in the local languages spoken at each center.\n* With the general practice medical qualifications.\n* Agree to participate in the study and sign the informed consent form.\n\nInclusion criteria for simulated patient volunteers:\n\n* Age ≥ 18 years.\n* Fluent in the local languages spoken at each center.\n* Able to use electronic devices with intelligent systems.\n* Able to accurately express symptoms and participate throughout the process.\n* Agree to participate in the study and sign the informed consent form.\n\nExclision criteria: N\u002FA",{"count":145,"type":20},40,[23],"This study aims to explore the diagnostic and therapeutic performance of a multimodal foundation model-based clinical intelligent management system in simulated outpatient scenarios. Specifically, it will compare the system's AI agent with general practitioners from different linguistic and cultural backgrounds worldwide, as well as various dialect and minority language regions in China.\n\nThe study will be conducted across multiple centers in diverse regions to comprehensively evaluate the system's adaptability. Using a prospective, single-blind design, each center will recruit primary care physicians.\n\nStandardized simulated patients across all centers will be trained based on the same set of standardized cases and then will consult with four real physicians and the AI agent, ensuring consistency.\n\nBy comparing diagnostic and treatment quality, patient satisfaction, and clinical outcomes, this study aims to explore the system's effectiveness in enhancing primary care and patient management across different regions and linguistic environments.",[149],"Primary Care Diseases","2025-05-13",{"date":152,"type":31},"2025-05-16",{"date":154,"type":31},"2025-04-15",{"date":156,"type":20},"2025-07-31",{"name":37,"class":38},{"id":159,"slug":160,"hasResults":11,"nctId":161,"briefTitle":162,"officialTitle":163,"acronym":4,"eligibilityCriteria":164,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":165,"targetDuration":4,"studyType":21,"phases":167,"briefSummary":168,"conditions":169,"keywords":4,"overallStatus":128,"whyStopped":4,"lastUpdateSubmitDate":150,"lastUpdatePostDateStruct":170,"startDateStruct":171,"completionDateStruct":173,"leadSponsor":174,"locationsCount":76},"100584724","clinical-intelligent-management-system-pragmatic-rct-100584724","NCT06893068","Clinical Intelligent Management System Pragmatic RCT","Evaluation of a Multimodal Model-Based Clinical Intelligent Management System: A Pragmatic Randomized Controlled Trial","Inclusion Criteria:\n\n* Age ≥18 years\n* Receiving care at a community health service center\n* Able to understand and comply with the study procedures\n* Agrees to participate in the study and signs the informed consent form\n\nExclusion Criteria:\n\n* Patients with severe mental illness\n* Patients unable to independently complete the questionnaire\n* Patients expected to be unable to complete follow-ups within three months",{"count":166,"type":20},204,[23],"This study aims to evaluate the effectiveness of a clinical intelligent management system, based on a multimodal foundational model, in improving the quality of primary care at a community health service center.\n\nUsing a prospective, randomized controlled, single-blind study design, the trial will include primary care physicians and adult patients seeking care at the Tiantongyuanbei Community Health Service Center and Shanghai Health and Medical Center.\n\nPhysicians in the intervention group will utilize the intelligent management system with AR glasses to aid in diagnosis and treatment, while patients will engage with the system's patient interface to access health education, follow-up reminders, and AI-powered home consultation features. In contrast, physicians in the control group will provide routine diagnoses and treatments, with their patients receiving standard health education and follow-up care. The trial was designed with the assistance of a digital twin-based clinical research system (termed X Town).\n\nBy comprehensively evaluating diagnostic quality, physicians' clinical abilities, patient-reported outcomes, and system appraisals, this study will assess the effectiveness of the clinical intelligent management system in enhancing the quality of primary care and patient management.",[149],{"date":152,"type":31},{"date":172,"type":31},"2025-04-13",{"date":156,"type":20},{"name":37,"class":38},{"id":176,"slug":177,"hasResults":11,"nctId":178,"briefTitle":179,"officialTitle":180,"acronym":4,"eligibilityCriteria":181,"healthyVolunteers":47,"sex":16,"minAge":17,"maxAge":121,"enrollmentInfo":182,"targetDuration":4,"studyType":21,"phases":184,"briefSummary":185,"conditions":186,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":188,"lastUpdatePostDateStruct":189,"startDateStruct":191,"completionDateStruct":193,"leadSponsor":195,"locationsCount":196},"100591441","evaluation-of-ai-generated-clinical-advice-by-physicians-100591441","NCT06980467","Evaluation of AI-Generated Clinical Advice by Physicians","A Study on the Evaluation of Artificial Intelligence-Generated Clinical Advisory Outputs in Medical Professional Contexts","Inclusion Criteria:\n\n* Age ≥ 18 years old;\n* Licensed physician or medical professional qualified to perform clinical evaluations;\n* Willing to sign informed consent and commit time to participate in the study.\n\nExclusion Criteria:\n\n* Unable to dedicate sufficient time to complete the study tasks;\n* Unable or unwilling to understand and follow study instructions.",{"count":183,"type":20},8,[23],"This study examines how artificial intelligence systems interact with medical professionals. Researchers will compare physician responses to different AI-generated outputs in simulative medical scenarios.",[187],"Artificial Intelligence (AI)","2025-05-12",{"date":190,"type":31},"2025-05-20",{"date":192,"type":20},"2025-05-15",{"date":194,"type":20},"2025-05-23",{"name":37,"class":38},2,{"id":198,"slug":199,"hasResults":11,"nctId":200,"briefTitle":201,"officialTitle":202,"acronym":4,"eligibilityCriteria":203,"healthyVolunteers":47,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":204,"targetDuration":4,"studyType":21,"phases":205,"briefSummary":206,"conditions":207,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":209,"lastUpdatePostDateStruct":210,"startDateStruct":212,"completionDateStruct":213,"leadSponsor":215,"locationsCount":76},"100590054","ai-driven-automated-biomedical-research-100590054","NCT06962423","AI-driven Automated Biomedical Research","A Study on Artificial Intelligence-based Automated Biomedical Research","Inclusion Criteria:\n\n* (1) Age ≥ 18 years old;\n* (2) Agree to sign consent form and invest time in this study;\n* (3) Able to understand and complete research tasks.\n\nExclusion Criteria:\n\n* (1) Currently participating in other projects that may interfere with this research and unable to ensure participation time;\n* (2) Have a history of major diseases or poor physical condition in the past three months that may affect research participation;\n* (3) Unwilling or unable to understand and complete the research tasks.",{"count":145,"type":20},[23],"This study will evaluate the effects of the AI system developed by our team on biomedical research.",[208,187],"Biomedical Research","2025-04-29",{"date":211,"type":31},"2025-05-08",{"date":192,"type":20},{"date":214,"type":20},"2026-05-15",{"name":37,"class":38},{"id":217,"slug":218,"hasResults":11,"nctId":219,"briefTitle":220,"officialTitle":221,"acronym":4,"eligibilityCriteria":222,"healthyVolunteers":47,"sex":16,"minAge":223,"maxAge":86,"enrollmentInfo":224,"targetDuration":4,"studyType":21,"phases":226,"briefSummary":227,"conditions":228,"keywords":230,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":234,"lastUpdatePostDateStruct":235,"startDateStruct":237,"completionDateStruct":239,"leadSponsor":241,"locationsCount":4},"100579720","practice-of-nutrition-package-in-myanmar-100579720","NCT06827964","Practice of Nutrition Package in Myanmar","Effects of Nutrition Package (Yingyangbao) Intervention on Children and Adolescents' Health in Myanmar","Inclusion Criteria:\n\n1. Children and adolescents aged 7-15 years.\n2. Residing in the local area for more than 1 year.\n\nExclusion Criteria:\n\n1. Individuals with severe metabolic diseases.\n2. Diagnosed with HIV\u002FAIDS.\n3. Individuals with physical disabilities.\n4. Individuals with severe mental conditions that may hinder their ability to cooperate with the study.\n5. Those who have received other nutritional supplementation packages or fortified foods in the past 6 months.\n6. Individuals with a history of intestinal diseases, other severe digestive system disorders, or metabolic disorders.","7 Years",{"count":225,"type":20},600,[23],"The goal of this cluster randomized controlled trial is to study the effectiveness of the Nutrition Package (Yingyangbao) on improving malnutrition in children and adolescents aged 7-15 in Myanmar. The main questions it aims to answer are:\n\n* What is the effectiveness of Nutrition Package intervention on the growth, development, and nutritional health of children and adolescents aged 7-15 in Myanmar?\n* How safe and feasible is the Nutrition package? Researchers will compare the Nutrition Package plus probiotics, the Nutrition Package alone, and no intervention to see if the Nutrition Package improves malnutrition and other health outcomes of children and adolescents aged 7-15 in Myanmar.\n\nParticipants will receive Nutrition Package products for six months and have their height, weight, mid-upper arm circumference, and hemoglobin levels measured and compared at baseline and end.",[229],"Malnutrition in Children",[231,232,233],"Nutrition Package","Malnutrition","Myanmar","2025-02-18",{"date":236,"type":31},"2025-02-20",{"date":238,"type":20},"2025-03-10",{"date":240,"type":20},"2025-09-10",{"name":37,"class":38},{"id":243,"slug":244,"hasResults":11,"nctId":245,"briefTitle":246,"officialTitle":246,"acronym":4,"eligibilityCriteria":247,"healthyVolunteers":47,"sex":16,"minAge":17,"maxAge":248,"enrollmentInfo":249,"targetDuration":4,"studyType":21,"phases":251,"briefSummary":252,"conditions":253,"keywords":257,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":261,"lastUpdatePostDateStruct":262,"startDateStruct":264,"completionDateStruct":266,"leadSponsor":268,"locationsCount":76},"100580601","effect-of-squash-exercise-intervention-on-sleep-and-mental-health-among-young-adults-100580601","NCT06839417","Effect of Squash Exercise Intervention on Sleep and Mental Health Among Young Adults","Inclusion Criteria:\n\n* (1) healthy young adults ; (2) without chronic diseases or psychiatric disorders between the ages of 18 and 35; (3) absence of regular exercise for the past half year; (4) right-handedness; (5) Neither color blindness nor color weakness exist.\n\nExclusion Criteria:\n\n* the exclusion criteria includes individuals with a history of cardiovascular, metabolic, or neurological disorders (such as hypertension, diabetes, epilepsy, or other significant medical conditions), as well as those with current or past psychiatric disorders, including depression, anxiety, schizophrenia, or other mood or behavioral disorders. Participants who have engaged in regular physical exercise or athletic training within the past six months will also be excluded, as their activity levels may interfere with the results. Left-handed individuals will be excluded, as handedness can affect motor performance and brain activity patterns. Additionally, individuals with any visual impairment affecting color perception, such as color blindness or color weakness, will be excluded. Those currently using medications that affect cognitive function, mood, or physical performance (e.g., antidepressants, anxiolytics, or beta-blockers) will also be excluded, as will individuals with a history of substance abuse or current substance use. Participants with sleep disorders, such as insomnia or sleep apnea, will be excluded to avoid confounding sleep-related outcomes. Lastly, pregnant or breastfeeding individuals, as well as those currently participating in other clinical trials or studies that could interfere with this research, will be excluded from the study.","35 Years",{"count":250,"type":20},100,[23],"Dear Squash Enthusiast, Hello!\n\nFirst of all, thank you for participating in this survey! This questionnaire is part of a joint study conducted by the Sports and Brain Science Research Team at Tsinghua University and the Squash program students from Nanjing Sport Institute. The study focuses on promoting squash, understanding the exercise experiences of squash participants, and examining the effects of squash on sleep and mental health. Completing the questionnaire will take approximately 5 minutes.\n\nThis research strictly follows the guidelines of the Tsinghua University Ethics Review Committee. All tests are harmless to the body, and there are no right or wrong answers to the questions in the survey. Please respond according to your personal situation. Your personal information will only be used for statistical purposes, and we will ensure that your information is kept strictly confidential.",[254,255,256],"Sleep","Mental Health","Exercise",[258,259,260],"sleep","exercsie","squash","2025-02-16",{"date":263,"type":31},"2025-02-21",{"date":265,"type":20},"2025-03-01",{"date":267,"type":20},"2027-03-01",{"name":37,"class":38},{"id":270,"slug":271,"hasResults":11,"nctId":272,"briefTitle":273,"officialTitle":274,"acronym":275,"eligibilityCriteria":276,"healthyVolunteers":47,"sex":16,"minAge":48,"maxAge":49,"enrollmentInfo":277,"targetDuration":4,"studyType":21,"phases":279,"briefSummary":280,"conditions":281,"keywords":283,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":289,"lastUpdatePostDateStruct":290,"startDateStruct":292,"completionDateStruct":294,"leadSponsor":296,"locationsCount":76},"100579713","effect-of-oral-supplements-for-influenza-vaccine-response-100579713","NCT06827873","Effect of Oral Supplements for Influenza Vaccine Response","Effect of Oral Supplement Intervention on Influenza Vaccine Efficacy: a Randomized Controlled Clinical Trial","EOSIIVE-RCT","Inclusion Criteria:\n\n1. Age 60-70 years old\n2. Body Mass Index (BMI) 18.5-26.9 kg\u002Fm²\n3. No influenza vaccination in the past year\n4. Able to understand and sign the informed consent form, and capable of completing the full follow-up process\n\nExclusion Criteria:\n\n1. Severe lipid metabolism disorders\n2. Use of lipid-lowering medications, weight loss drugs, or insulin within the past three months\n3. Vaccination with other vaccines within the past three months\n4. Use of probiotics or prebiotics within the past three months\n5. Use of steroids, immunosuppressants, or other hormonal medications within the past year\n6. Immunodeficiency diseases\n7. Severe vaccine allergy history\n8. Liver or kidney metabolic disorders\n9. Occurrence of fever, common cold, severe diarrhea, or other diseases within the past month\n10. Poorly controlled chronic diseases (such as blood pressure, blood sugar)\n11. Intake of influenza antiviral drugs within the past two weeks\n12. Cognitive function impairment\n13. Planning to undergo surgery in the near future",{"count":278,"type":20},45,[23],"The aim of this clinical trial is to explore the efficacy of fatty acid and bile acid based supplements on enhancing influenza vaccine immune response in adults aged 60-70 years. The objectives of this study are:\n\n1. To explore the efficacy of fatty acid and bile acid based supplements on enhancing flu vaccine immune response.\n2. To evaluate the safety of fatty acid and bile acid use in elders.\n3. To explore the potential role of microbiota in regulating immune response.\n\nThis study will conduct a randomized clinical trial to compare the efficacy of fatty acid \u002F bile acid (Tauro Ursodesoxy Cholic Acid, TUDCA)supplements on enhancing vaccine immune response. The antibody's titer and safety indicators after influenza vaccination will be evaluated. Study process are:\n\n1. Participants will be required to intake the assigned supplement or placebo daily for 25 days;\n2. Receive a influenza vaccine on day 4;\n3. Provide blood samples three times and stool samples twice at base line and endpoint respectively;\n4. The antibody's titer and safety indicators will be analyzed and compared among groups.\n\nThis study aims to establish a theoretical foundation for utilizing nutritional strategies to enhance vaccine-induced immune responses and to provide a scientific framework for developing oral vaccine boosters.",[282],"Influenza Vaccine Response",[284,285,286,287,288],"Vaccine Efficacy","Elderly Immunity","Fatty Acid Supplementation","Gut Microbiota","Randomized Controlled Trial","2025-02-10",{"date":291,"type":31},"2025-02-14",{"date":293,"type":20},"2025-02",{"date":295,"type":20},"2025-10",{"name":37,"class":38},{"id":298,"slug":299,"hasResults":11,"nctId":300,"briefTitle":301,"officialTitle":301,"acronym":302,"eligibilityCriteria":303,"healthyVolunteers":47,"sex":16,"minAge":304,"maxAge":305,"enrollmentInfo":306,"targetDuration":4,"studyType":21,"phases":308,"briefSummary":309,"conditions":310,"keywords":312,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":316,"lastUpdatePostDateStruct":317,"startDateStruct":319,"completionDateStruct":321,"leadSponsor":323,"locationsCount":324},"100574417","study-on-the-medical-education-capability-of-the-eyeteacher-artificial-intelligence-platform-100574417","NCT06759012","Study on the Medical Education Capability of the EyeTeacher Artificial Intelligence Platform","EyeTeacher","Inclusion Criteria:\n\n* Clinical medical students who have not taken ophthalmology courses\n* Age 21-40\n* Gender not restricted\n* Sign the informed consent form\n\nExclusion Criteria:\n\n* Refusal of the research protocol.\n* Participants unwilling or unable to understand and complete the questionnaire.","21 Years","40 Years",{"count":307,"type":20},252,[23],"With the rise of generative artificial intelligence and large language models, medical education is undergoing a significant transformation. Numerous studies have highlighted the limitations of traditional educational knowledge acquisition and the potential impact of artificial intelligence on medical education, resident training, and continuing education for clinical practitioners. However, there is a lack of real-world experiments on the effectiveness of AI-integrated education.\n\nArtificial intelligence can provide extensive educational resources and tools that are not limited by geographical location or language, thereby lowering the barrier to accessing high-quality medical education and promoting educational equity. Nevertheless, the performance of AI models trained by different medical institutions or healthcare systems may vary.\n\nTo offer a more universal, accessible, high-quality, and interconnected educational journey. We have developed a virtual ophthalmology teacher, which developed based on foundational model and large language models. This model, named EyeTeacher provide comprehensive theoretical knowledge and clinical skills enhancement for untrained medical students. To verify the effectiveness of our EyeTeacher across different national ophthalmology education systems and languages, we plan to implement a randomized controlled trial. This trial will assess the clinical capabilities of all participants and explore the advantages and disadvantages of the system compared to traditional teaching methods.",[311],"Medical Education",[313,314,315],"Medical education","Multimodality AI","Generative AI","2024-12-29",{"date":318,"type":31},"2025-01-06",{"date":320,"type":20},"2025-01-05",{"date":322,"type":20},"2025-12-30",{"name":37,"class":38},7,{"id":326,"slug":327,"hasResults":11,"nctId":328,"briefTitle":329,"officialTitle":329,"acronym":330,"eligibilityCriteria":331,"healthyVolunteers":47,"sex":16,"minAge":305,"maxAge":332,"enrollmentInfo":333,"targetDuration":4,"studyType":21,"phases":335,"briefSummary":336,"conditions":337,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":339,"lastUpdatePostDateStruct":340,"startDateStruct":342,"completionDateStruct":344,"leadSponsor":346,"locationsCount":4},"100569517","using-retinal-photograph-based-ai-to-predict-incident-coronary-heart-disease-100569517","NCT06695273","Using Retinal Photograph Based AI to Predict Incident Coronary Heart Disease","DeepCHD Plus","Inclusion criteria:\n\n* Individuals without uncontrolled vascular risk factors\n* Age range: 40-75 years old\n* Can accept and cooperate with the examination and potential follow-up work after being selected for clinical trials\n\nExclusion criteria:\n\n* Severe lung disease and cancer or surgery patients\n* Statin user or pre-existing cardiovascular disease\n* Individuals with severe liver and kidney dysfunction and electrolyte imbalance","75 Years",{"count":334,"type":20},1570,[23],"To determine whether an integrated retinal AI decision support can improve predictive accuracy of coronary heart disease (CHD), the investigators are conducting a randomized controlled study of AI guided prediction of CHD compared to clinical prediction by physicians (e.g., usingPCEs), both using clinical intuition as baseline.",[338],"Coronary Heart Disease (CHD)","2024-11-16",{"date":341,"type":31},"2024-11-19",{"date":343,"type":20},"2025-01",{"date":345,"type":20},"2025-05",{"name":37,"class":38},""]