Clinical trials: Learning Model
Kidney Transplantation, Delirium - Postoperative
A Predictive Model for Postoperative Delirium in Kidney Transplant Patients
This study aims to develop and prospectively validate a machine learning-based prediction model for postoperative delirium in kidney transplant recipients, using perioperative clinical data.
- Conditions
- Kidney Transplantation, Delirium - Postoperative, Cognitive
- Trial name
- NCT07078578
- Volunteers
- 4,800 people
- Sponsor
- Hua Zheng
Post Partum Depression
Effect of a Cooperative Education Program Based on Precede-Proceed Model During Pregnancy on Postpartum Depression
This trail aims to evaluate the effects of a cooperative education program based on precede-proceed model during pregnancy on preventing postpartum depression in southern Razavi Khorasan Province.
- Trial name
- NCT04129476
- Testing
- Cooperative Education Program based on Precede-Proceed Model
- Where
- Iran
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- Gonabad University of Medical Sciences
Behavior Problem, Development Delay
Family Nurture Intervention, A Group Model in Connecticut
The purpose of this current study is to investigate the efficacy of a group model of Family Nurture Intervention in ameliorating behavioral problems in preschool-aged children.
- Conditions
- Behavior Problem, Development Delay, Emotional Disturbance, Family Conflict
- Trial name
- NCT02970565
- Testing
- Family Nurture Intervention, Nutrition and Play Intervention
- Where
- United States
- Volunteers
- 106 people, healthy volunteers welcome
- Sponsor
- Columbia University
Difficult Airway Intubation
Research on a Machine Learning-Based Predictive Model for Difficult Intubation Using Specific Vocal Characteristics
1. Study Purpose This research aims to develop a novel, non-invasive, and simple method to predict difficult intubation before surgery.
- Trial name
- NCT07278232
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Renal Transplanted Recipients, Kidney Function
Renal Function Prediction in Living Donor Transplant Using Baseline Data
This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients.
- Trial name
- NCT06728995
- Where
- South Korea
- Volunteers
- 3,500 people
- Sponsor
- Seoul National University Hospital
Autism, Sociocommunicative Challenges
Improving Autism Program Quality in Special Education Units: The Use of an APERS-based Model to Support Student Learning and Participation
This study assesses the effect of using the Autism Program Environment Rating Scale (APERS) as a tool for providing feedback, in-service training, and coaching to school staff in order to improve program quality in special…
- Trial name
- NCT07830160
- Testing
- APERS+
- Where
- Sweden
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Stockholm University
Nasopharyngeal Cancinoma (NPC), Lymph Node Metastasis
A Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma(NPC)
(I) AI Model for Diagnosing Lymph Node Metastasis We developed an AI model to help diagnose whether a single lymph node in nasopharyngeal cancer has spread. The model uses MRI images of the lymph node and the area around it.
- Trial name
- NPC (NCT06829147)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Disasters, Disaster Preparedness
Effectiveness of an Audiovisual Disaster-Education Intervention on Disaster Risk Perception and Preparedness Belief Among Senior High-School Adolescents
This cluster-randomized controlled trial tests whether a short, standardized disaster-education video improves two psychological precursors of disaster preparedness among senior high-school students in a hazard-prone district of…
- Conditions
- Disasters, Disaster Preparedness, Health Behavior, Risk Perception
- Trial name
- DERAP (NCT07781527)
- Testing
- Audiovisual disaster-education module, Attention-matched general-health video
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- Tanjungpura University
HPV VACCINATION
Health Belief Model-based Education and Motivational Interview Regarding the HPV Vaccination Decision
This research is a single-blind, randomized, parallel-controlled experimental study designed to determine the effect of Health Belief Model (SIM)-based motivational interviews given to mothers of high school students on mothers'…
- Trial name
- NCT04992741
- Testing
- education and motivational interview
- Where
- Turkey (Türkiye)
- Volunteers
- 63 people, healthy volunteers welcome
- Sponsor
- Yasemin ATEŞEYAN
Tuberous Sclerosis Complex
Predicting Epileptogenic Tubers in Patients with Tuberous Sclerosis Complex
Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging because ETs lack distinct pathological or genetic markers that differentiate them from other…
- Trial name
- NCT06789419
- Volunteers
- 112 people
- Sponsor
- Beijing Children's Hospital
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Chest Pain, Stroke Acute
Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).
Improving Telephone Triage in Emergency Calls with AI The Coordinating Centre for Urgencies and Emergencies in Andalusia (CCUE) handles thousands of calls every day.
- Conditions
- Chest Pain, Stroke Acute, Respiratory Failure, Cardiac Arrest (CA)
- Trial name
- TrIAje Project (NCT07247669)
- Where
- Spain
- Volunteers
- 5,000,000 people
- Sponsor
- Centro de Emergencias Sanitarias 061 Andalucía
Evaluation of the Flipped Classroom Model in Infectious Disease Nursing Education
The Flipped Classroom Model in Infectious Disease Nursing: Implementation and Assessment of Educational Effectiveness
The goal of this retrospective cohort study was to evaluate whether the flipped classroom (FC) teaching model improved academic performance and student engagement in an integrative Infectious Disease Nursing course, compared with…
- Trial name
- FC (NCT07806305)
- Testing
- Flipped Classroom (FC) as the teaching mode
- Where
- China
- Volunteers
- 54 people, healthy volunteers welcome
- Sponsor
- Shantou University Medical College
Interprofessional Team Collaboration
Improving Interprofessional Collaboration in Norwegian Primary Schools
This study includes designing, implementing and evaluating the effectiveness of process-based measures for improving interprofessional collaboration in Norwegian primary schools (5-7th grades).
- Trial name
- NCT03248245
- Testing
- LOG-model, TAU
- Where
- 37 sites in Norway
- Volunteers
- 4,130 people, healthy volunteers welcome
- Sponsor
- Oslo Metropolitan University
Dental Education, Artificial Intelligence (AI)
AI Virtual Patient Training for Dental Student History Taking
This randomized study evaluated whether an artificial intelligence-assisted virtual patient could support third-year dental students in practicing medical and dental history taking.
- Conditions
- Dental Education, Artificial Intelligence (AI), Virtual Patient, History Taking
- Trial name
- NCT07688668
- Testing
- Gemini-Based AI Virtual-Patient Training, Conventional Role-Play Training
- Where
- Vietnam
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Hue University of Medicine and Pharmacy
Medical Student
AI-Assisted Learning in Medicine
This multi-center retrospective cohort study investigates the real-world impact of integrating MetaGP-Edu, a proprietary AI tool fine-tuned for medical education, into the undergraduate Internal Medicine curriculum.
- Trial name
- NCT06945159
- Where
- 2 sites in China
- Volunteers
- 1,632 people, healthy volunteers welcome
- Sponsor
- Kang Zhang
Endometrial Cancer
Developing a MRI-based Deep Learning Model to Predict MMR Status
In order to develop a convenient, cheap and comprehensive method to preoperatively predict dMMR and reduce the number of people requiring dMMR-related immunohistochemical or genetic testing after surgery, this study aims to…
- Trial name
- NCT05783986
- Testing
- randomly divided
- Volunteers
- 600 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Laughter Yoga, Peer Bullying
Evaluation of the Effect of a PRECEDE-PROCEED Model-Based "Laughter Yoga-Supported Education Program" on Peer Bullying
Adolescence is a critical developmental period marked by rapid cognitive, emotional, and social changes that shape personality and psychosocial functioning.
- Conditions
- Laughter Yoga, Peer Bullying, Adolescents, Health Education
- Trial name
- Peer Bullying (NCT07534566)
- Testing
- Health education, Laughter Yoga
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Ankara University
Adolescence Idiopathic Scoliosis
Machine Learning Prediction of Disease Progression in Adolescent Idiopathic Scoliosis
Background and Problem Overview Adolescent Idiopathic Scoliosis (AIS) is a progressive musculoskeletal disorder characterized by a three-dimensional deformation of the spine occurring during adolescence.
- Trial name
- NCT07556042
- Testing
- Core Stabilization Exercise
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people
- Sponsor
- Istanbul University
Sepsis
A Machine Learning Predictive Model for Sepsis
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis.
- Trial name
- NCT04771429
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine