Clinical trials: AI
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
Covid19
Detection of SARS-CoV-2 in Nasopharyngeal Swabs by Using Multi-Spectral Screening System
The aim of this research is to use the Multi-Spectral method to measure the biomolecular fingerprint of the virus directly instead of the virus's RNA (RT-PCR) or the body's immune response (antibody) measurement methods to…
- Trial name
- NCT04860895
- Testing
- AP-23
- Where
- Turkey (Türkiye)
- Volunteers
- 4,400 people, healthy volunteers welcome
- Sponsor
- Fable Biyoteknoloji San ve Tic A.S
Type 1 Diabetes Mellitus
Feasibility and Effectiveness of an AI-Powered Carbohydrate Counting Educational Platform to Support Parents of Children With Type 1 Diabetes
The goal of this clinical trial is to learn whether an AI-powered carbohydrate counting educational platform can help parents of children with type 1 diabetes improve their carbohydrate counting skills and diabetes management.
- Trial name
- CARB-AI (NCT07671053)
- Testing
- AI-Powered Carbohydrate Counting Educational Platform
- Where
- 3 sites in Oman, United Arab Emirates
- Volunteers
- 80 people
- Sponsor
- Sultan Qaboos University
Congenital Heart Disease (CHD), Ventricular Septal Defects (VSD)
A Multimodal AI Prediction Model for Complications After Transcatheter Closure of Perimembranous VSD in Children
The goal of this observational study is to develop and validate a multimodal artificial intelligence prediction model for treatment-related complications in children with perimembranous ventricular septal defect (pmVSD)…
- Conditions
- Congenital Heart Disease (CHD), Ventricular Septal Defects (VSD), Cardiac Catheterization, Postoperative Complications
- Trial name
- NCT07375602
- Where
- China
- Volunteers
- 5,249 people
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Motor Development Assessment, Artificial Intelligence-Based Movement Analysis
AI-Based Video Analysis for Motor Development Assessment in Children
This is a non-interventional, prospective observational study aimed at developing and validating an artificial intelligence-based system for assessing motor development in children using video analysis.
- Trial name
- AMD-AI (NCT07597356)
- Testing
- Observational Assessment Only
- Where
- Turkey (Türkiye)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Medipol University
Pediatric Dental Anxiety
Effects of AI-Generated Animated Videos on Dental Anxiety in Children
The goal of this clinical trial is to evaluate the overall effect of an artificial intelligence-generated, instrument-specific animated video series compared with the conventional Tell-Show-Do (TSD) technique on dental anxiety in…
- Trial name
- AIVDAC (NCT07596771)
- Testing
- AI-Generated Animated Video Series, Tell-Show-Do (TSD) Technique
- Where
- Turkey (Türkiye)
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- Alanya Alaaddin Keykubat University
Basketball Performance, Sports Injury Risk
Position-Specific Lower Limb Performance and AI-Based Injury Risk Analysis in Young Male Basketball Players
This observational study aims to evaluate lower extremity performance characteristics in young male basketball players according to their playing positions and to explore injury risk patterns using artificial intelligence…
- Conditions
- Basketball Performance, Sports Injury Risk, Lower Extremity Performance, Athletic Performance
- Trial name
- NCT07677371
- Testing
- Lower Extremity Performance Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 81 people, healthy volunteers welcome
- Sponsor
- Istanbul Gelisim University
Motor Disorders
A Preliminary Study on Artificial Intelligence for Infant Motor Screening
The purpose of this preliminary study is to apply AI technology on a sample of infants aged 4 to 18 months to develop an action tracking and recognition algorithm for infant motor screening and to determine the accuracy of the…
- Trial name
- NCT04684173
- Where
- Taiwan
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Artifical Intelligence, Generative Artificial Intelligence
The Effect of Two Different Generative AI Tools on Nursing Students' Patient Counseling Skills and Motivation Regarding Instructional Materials
The goal of this parallel-group randomized controlled trial is to compare the effects of two different generative artificial intelligence (AI) tools (a video/audio interactive AI avatar versus a written AI learning assistant…
- Conditions
- Artifical Intelligence, Generative Artificial Intelligence, Counseling, Education, Nursing
- Trial name
- NCT07909083
- Testing
- Interactive AI Avatar Simulation, Written AI Chatbot Simulation
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Manisa Celal Bayar University
Periodontitis
AI-Based Radiographic Detection of Periodontal Defects
The primary objective of the study is to develop and validate a machine learning model for the automatic identification of periodontal vertical bone defects, improving diagnostic accuracy and efficiency.
- Trial name
- NCT07086625
- Where
- Italy
- Volunteers
- 500 people
- Sponsor
- University of Cagliari
Implantation, Embryo
Longitudinal Clinical Observation of a Digital Twin Model for Blastocyst Evaluation in IVF Clinics
This study aims to develop and validate a non-image, multimodal digital twin model of the human blastocyst using fully de-identified clinical, laboratory, molecular, biochemical, and long-term follow-up data obtained during…
- Trial name
- IVFDT (NCT07305480)
- Testing
- Digital Twin Computational Modeling
- Where
- Austria
- Volunteers
- 1 people
- Sponsor
- Ukraine Association of Biobank
Multiple Myeloma
AI-Based Fine Morphological Subtyping of Myeloma Single Cells for Predicting FISH Abnormalities
This study developed an artificial intelligence (AI)-based methodology for the quantitative analysis of single-cell morphological data in multiple myeloma (MM).
- Trial name
- AI (NCT07410403)
- Where
- China
- Volunteers
- 10 people
- Sponsor
- Fuling Zhou
Neurodegenerative Diseases, Parkinson Disease
Neurodegenerative Diseases Progression Markers (MARKERS-NDD)
MARKERS-NDD is a prospective, observational, longitudinal study, which aims to collect data from patients affected by neurodegenerative diseases (NDD) followed longitudinally for routine examinations performed as part of normal…
- Conditions
- Neurodegenerative Diseases, Parkinson Disease, Synucleinopathies, Lewy Body Disease
- Trial name
- MARKERS-NDD (NCT06596746)
- Testing
- Observation
- Where
- Italy
- Volunteers
- 600 people
- Sponsor
- Casa di Cura San Raffaele Cassino
Surgical Education and Anatomical Identification in Laparoscopic Cholecystectomy
Using AI and Fluorescence Guidance to Enhance Extrahepatic Bile Duct Identification Among Junior Surgeons During Laparoscopic Cholecystectomy
The present study evaluates whether PGY trainees and surgical residents, with or without AI assistance, could accurately identify the presence and anatomical location of the CBD, as well as delineate intraoperative danger zones…
- Trial name
- NCT07188181
- Where
- Taiwan
- Volunteers
- 8 people
- Sponsor
- Chang Gung Memorial Hospital
Developmental Dysplasia of the Hip
AI-assisted Preoperative Planning Technology for THA for DDH
In this study, the investigators retrospectively collected DDH case data of THA assisted by AI 3D planning and THA assisted by traditional planning.
- Trial name
- NCT05929105
- Testing
- artificial intelligence (AI)-assisted three-dimensional preoperative planning technology, X-ray film template for 2D planning
- Where
- China
- Volunteers
- 61 people
- Sponsor
- General Hospital of Ningxia Medical University
Congenital Heart Disease (CHD), Screening Tool
"SOUND" Trial: Study of On-site Use of Novel AI-assisted Diagnostics in CHD Screening
This study plans to conduct clinical validation of the model in real clinical settings, comparing it with primary care physicians and specialist physicians to ensure the model's practicality.
- Conditions
- Congenital Heart Disease (CHD), Screening Tool, Artificial Intelligence (AI), Cluster Randomized Trial
- Trial name
- NCT06791109
- Testing
- Primary care physicians, AI + Primary care physicians
- Where
- China
- Volunteers
- 19,697 people, healthy volunteers welcome
- Sponsor
- Kun Sun
HPV Vaccination Rates, HPV Vaccine Awareness
Effectiveness of Large Language Model-Based Chatbot Among Female University Stdents in Improving HPV Vaccine Awareness, Intention and Vaccination Rates
This is an interventional study targeting female university students. The primary objective of the study is to evaluate the effectiveness of a vaccine chatbot in improving HPV vaccination rates.
- Conditions
- HPV Vaccination Rates, HPV Vaccine Awareness, HPV Vaccination Intention
- Trial name
- NCT07351604
- Testing
- Scientific videos, Vaccine chatbot
- Volunteers
- 18,000 people, healthy volunteers welcome
- Sponsor
- Xiamen University
Global Climate Change Awareness Scale, Climate Change Concern Scale
The Effect of AI-Supported Climate Change Education on Adolescents' Levels of Awareness and Concern
This study was conducted to assess the impact of AI-supported climate change education on adolescents' awareness of global climate change and their levels of concern about climate change.
- Trial name
- NCT07881419
- Testing
- AI-Supported Climate Change Education Using Virtual Reality
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Yuzuncu Yil University
Bacterial Infections
Development and Accuracy Evaluation of Gram Staining Analysis AI
The investigators use Gram-stained specimens provided from clinical settings to develop and evaluate the accuracy of Gram staining analysis AI
- Trial name
- NCT06377592
- Testing
- Sample collection without intervention
- Where
- Japan
- Volunteers
- 18,000 people
- Sponsor
- GramEye
type1diabetes, Pediatrics
AI for Glycemic Events Detection Via ECG in a Pediatric Population
Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control and incorrect Insulin administration.
- Trial name
- NCT05278143
- Where
- Italy
- Volunteers
- 64 people
- Sponsor
- Bambino Gesù Hospital and Research Institute