Clinical trials: Intelligence
Artificial Intelligence, Outpatient
Artificial Intelligence in Children's Clinic
In China, the number of children's medical services is still far behind the growing demand for children's health care. The phenomenon of children's parents queuing overnight for registration is no longer surprising.
- Trial name
- NCT04186104
- Testing
- Routine diagnostic process, Artificial intelligence assisted diagnosis process
- Where
- 2 sites in China
- Volunteers
- 626 people, healthy volunteers welcome
- Sponsor
- Shanghai Jiao Tong University School of Medicine
Safety, Preschool Age Children
Empowering Preschool Children With Personal Safety Skills
Preschool children are vulnerable to preventable accidents due to limited hazard awareness. This randomized controlled study evaluated the effectiveness of a Multiple Intelligences Theory-based Personal Safety Education Program…
- Conditions
- Safety, Preschool Age Children, Self Administration, Education Entertainment Intervention
- Trial name
- NCT07454538
- Testing
- Multiple Intelligences Theory-Based Personal Safety Education Program (PSEP)
- Where
- Turkey (Türkiye)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Karabuk University
Congenital Disorder, Cleft Lip Palate
Clinical Application of Artificial Intelligence in New Borns With Cleft Lip and Palate
The goal of this observational study is to evaluate whether passive plate therapy using automated AI-designed devices can reduce cleft size in newborns with cleft lip and palate.
- Trial name
- CLIP-AI (NCT06970158)
- Testing
- AI-Designed Passive Plate Therapy
- Where
- 2 sites in India
- Volunteers
- 70 people
- Sponsor
- University Hospital, Basel, Switzerland
Spinal Cord Injuries
Artificial Intelligence Model for Traumatic Cervical Spinal Cord Injury Based on Radiomics and Genomics
Collect standardized, structured, and comprehensive disease-specific information, produce high-quality and accurate clinical data, provide a sample basis for the analysis and mining of spinal cord injury clinical big data, and…
- Trial name
- NCT06436716
- Testing
- MRI
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Affiliated 2 Hospital of Nantong University
Ophthalmopathy, Artificial Intelligence
Validation of the Utility of Ophthalmology Intelligent Diagnostic System
The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to…
- Trial name
- NCT03499145
- Testing
- Ophthalmology diagnostic system.
- Where
- China
- Volunteers
- 615 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Cancer, Incontinence
Artificial Intelligence in Healthcare: Advanced Evaluation of Medical Online Content. AI-driven Quality Assessment of YouTube Videos Providing Information on Incontinence After Cancer Surgery.
The aim of the study is to analyse the quality of information that patients and relatives of different types of cancer receive through social networks on the subject of incontinence after cancer surgery.
- Conditions
- Cancer, Incontinence, Patient Education, Social Networks
- Trial name
- AMRR UOPhD (NCT05960734)
- Where
- Spain
- Volunteers
- 160 people
- Sponsor
- University of Oviedo
Radiology, Internship and Residency
Measuring AI Reliance Among Intern Doctors in Palestine
This study aims to enroll intern doctors and have them sit one of three identical radiology exams. The only difference between them is an AI-assistant.
- Conditions
- Radiology, Internship and Residency, AI (Artificial Intelligence)
- Trial name
- AI-RP (NCT07558746)
- Testing
- AI prompt (Correct), AI prompt (Incorrect)
- Where
- Palestinian Territories
- Volunteers
- 159 people, healthy volunteers welcome
- Sponsor
- Al-Quds University
Root Canal
AI-Based Root Canal Length, Curvature, and Morphology Assessment Using CBCT
The primary aim of this study is to develop, evaluate, and validate a deep learning-based software system capable of generating automated, comprehensive clinical reports that detect, segment, and quantify root canal curvature…
- Trial name
- NCT07843992
- Testing
- AI-Based Deep Learning System for Root Canal Assessment
- Volunteers
- 155 people, healthy volunteers welcome
- Sponsor
- Cairo University
Femoroacetabular Impingement Syndrome
AI-Based Screening and Diagnostic Models for Femoroacetabular Impingement Syndrome (FAIS-AI)
Femoroacetabular impingement syndrome (FAIS) is the leading cause of hip pain in young adults and frequently progresses to osteoarthritis, often exacerbated by delayed diagnosis in primary care.
- Trial name
- FAIS-AI (NCT07737223)
- Where
- China
- Volunteers
- 2,617 people
- Sponsor
- ChunBao Li
Artificial Intelligence, Glaucoma
Artificial Intelligence-assissted Glaucoma Evaluation
Glaucoma is currently the second leading cause of irreversible blindness in the world. Our study intends to combine clinical data of glaucoma patients in Zhongshan Ophthalmic Center with Artificial Intelligence techniques to…
- Trial name
- AGE (NCT03268031)
- Testing
- Visual field and OCT tests
- Where
- China
- Volunteers
- 10,800 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Prostate Cancer
The PROSECCA Study, Answering New Questions in Prostate Cancer
Nearly half of all cancer patients receive radiotherapy as part of their treatment and although it is effective at destroying cancerous lesions deep within the body, this comes at the cost of damaging healthy, or normal, tissues.
- Trial name
- PROSECCA (NCT06714630)
- Where
- United Kingdom
- Volunteers
- 15,000 people
- Sponsor
- University of Edinburgh
Chronic Pancreatitis, Exocrine Pancreatic Insufficiency
AI Evaluation of Pancreatic Exocrine Insufficiency in CP Patients
Early assessment of pancreatic exocrine insufficiency (PEI) is crucial for determining appropriate chronic pancreatitis (CP) treatment plans, thereby avoiding unnecessary suffering and further complications in patients.
- Conditions
- Chronic Pancreatitis, Exocrine Pancreatic Insufficiency, Machine Learning, Deep Learning
- Trial name
- NCT06278272
- Where
- China
- Volunteers
- 504 people
- Sponsor
- Changhai Hospital
Sarcopenia, Muscle Loss
Comparison of Computed Tomography Data With Routine Measurements Concerning Bone and Muscle Health of Aged Individuals
This study focuses on researching sarcopenia and bone loss (osteoporosis), aiming to develop early and effective methods for diagnosis and treatment.
- Conditions
- Sarcopenia, Muscle Loss, Osteoporosis
- Trial name
- SARCATAR (NCT06488872)
- Testing
- comparison of CT scan with routinely assessed methods of muscle mass and strength
- Where
- Switzerland
- Volunteers
- 300 people
- Sponsor
- University Department of Geriatric Medicine FELIX PLATTER
Anxiety, Depression in Adolescence
Co-designing Adaptations of a Digital Mental Health Intervention (Wysa) for Adolescent Girls With Anxiety or Depression in Rural India
The goal of this study is to culturally and contextually adapt Wysa, an evidence-based AI-powered digital mental health intervention (DMHI), for adolescent girls (ages 13-18) with symptoms of anxiety and/or depression in rural…
- Conditions
- Anxiety, Depression in Adolescence, Anxiety Disorder of Adolescence
- Trial name
- NCT07595029
- Testing
- Digital psychosocial tool
- Volunteers
- 179 people, healthy volunteers welcome
- Sponsor
- Wysa
Overweight
Delivering Geospatial Intelligence to Health Care Providers
Physician counseling for physical activity, dental services, and academic support services such as tutoring could be improved through physician knowledge of local community resources and physician counseling directing patients to…
- Trial name
- CHICA GIS (NCT01567228)
- Testing
- CHICA GIS (enhanced electronic medical record)
- Where
- United States
- Volunteers
- 1,076 people
- Sponsor
- Indiana University
Osteo Arthritis Knee and Hip, Artificial Intelligence (AI)
Comparing Physician and Artificial Intelligence Chatbot Responses to Frequently Asked Questions From Osteoarthritis Patients
This study aimed to compare the patient acceptability (preference, length, and difficulty) and accuracy of Chat-Generative Pre-Trained Transformer (ChatGPT) responses to questions from people with osteoarthritis (OA) with…
- Conditions
- Osteo Arthritis Knee and Hip, Artificial Intelligence (AI), Acceptability, Accuracy
- Trial name
- PARTICIPATE (NCT07202286)
- Where
- Netherlands
- Volunteers
- 286 people
- Sponsor
- Canisius-Wilhelmina Hospital
Pregnancy, Pregnancy Complications
AI-POCUS for Maternal and Neonatal Health in Ethiopia
Maternal and neonatal health remains one of the most pressing global health challenges, particularly in low- and middle-income countries (LMICs).
- Conditions
- Pregnancy, Pregnancy Complications, Preterm Birth, Fetal Growth Restriction
- Trial name
- AIM-ETH (NCT07171086)
- Testing
- AI-POCUS (BabyChecker, Delft Imaging), AI-POCUS (Edan, China)
- Where
- Ethiopia
- Volunteers
- 1,059 people, healthy volunteers welcome
- Sponsor
- Tsinghua University
Muscle-invasive Bladder Cancer, Artificial Intelligence
Multi-parametric MRI in Patients of Bladder Cancer
Accurate preoperative detection of muscle-invasive bladder cancer remains a clinical challenge. The investigators aimed to develop and validate a knowledge-guided causal diagnostic network for the detection of muscle-invasive…
- Trial name
- NCT06362330
- Testing
- magnetic resonance imaging
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
Artificial Intelligence, Self-care
AI-Based Education and Menstrual Health Behaviors in Adolescents
This study is designed as a randomized controlled trial aiming to compare the effectiveness of different educational approaches in improving dysmenorrhea self-care and genital hygiene behaviors among adolescent girls.
- Conditions
- Artificial Intelligence, Self-care, Dysmenorrhea, Genital Hygiene Behaviors
- Trial name
- NCT07598929
- Testing
- AI-Supported Mobile Education, Face-to-Face Education, Brochure-Based Education
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Cumhuriyet University
Arrhythmias, Cardiac, Cardiac Arrest
Development of a Novel Convolution Neural Network for Arrhythmia Classification
Identifying the correct arrhythmia at the time of a clinic event including cardiac arrest is of high priority to patients, healthcare organizations, and to public health.
- Conditions
- Arrhythmias, Cardiac, Cardiac Arrest, Cardiac Arrythmias
- Trial name
- AI-ECG (NCT03662802)
- Testing
- Neural Network Classifier
- Where
- United States
- Volunteers
- 25,458 people, healthy volunteers welcome
- Sponsor
- Scripps Clinic